OnlyDataJobs.com

Wipro Limited
  • Dallas, TX

Below is the Job Description

    • 15-20 years of experience as Data Engineer / Architect working on end-to-end architecture, consulting on Cloud Platforms
    • Strong experience in large scale initiatives for building world class products on Cloud and Big Data Platforms, managing and handling large data repositories, delivering distributed and highly scalable applications
    • Experience in defining roadmap migration journey on to Cloud Platform covering Data Lake, Data-warehouse, Object Stores, Data Processing using Spark, Real-Time, Deep learning, AI/ML, Notebooks   etc.
    • Strong DevOps skillset and working in Agile environment
    • Good Customer facing, interpersonal and communication skills
    • Experience in addressing non-functional requirements and large application deployment architectures with concerns such as scalability, performance, availability, reliability, enterprise security, data governance, data quality etc.
    • Ability to quickly prototype, architect and build software using latest technologies around Google Cloud Platform, AWS and/or Azure
    • Strong experience on following technologies - Spark, Snowflake, Redshift, Cloudera, Kafka, ETL tools
    •  Candidate should have at least one or two projects delivered at Production Scale on above technology stacks.

Thanks

Harsha Awtaney

4082033108

Cloudreach
  • Atlanta, GA

Big dreams often start small. From an idea in a London pub, we have grown into a global cloud enabler which operates across 7 countries and speak over 30 languages.


Our purpose at Cloudreach is to enable innovation. We do this by helping enterprise customers adopt and harness the power of cloud computing. We believe that the growth of a great business can only be fuelled by great people, so join us in our partnership with AWS, Microsoft and Google and help us  build one of the most disruptive companies in the cloud industry. Its not your average job, because Cloudreach is not your average company.


What does the Cloud Enablement team do?

Our Cloud Enablement team helps provide consultative, architectural, program and engineering support for our customers' journeys to the cloud. The word 'Enablement' was chosen carefully, to encompass the idea that we support and encourage a collaborative approach to Cloud adoption, sharing best practices, helping change the culture of teams and strategic support to ensure success.


How will you spend your days ?

    • Build technical solutions required for optimal ingestion, transformation, and loading of data from a wide variety of data sources using open source, AWS, Azure or GCP big data frameworks and services.
    • Work with the product and software team to provide feedback surrounding data-related technical issues and support for data infrastructure needs uncovered during customer engagements / testing.
    • Understand and formulate processing pipelines of large, complex data sets that meet functional / non-functional business requirements.
    • Create and maintain optimal data pipeline architecture
    • Working alongside the Cloud Architect and Cloud Enablement Manager to implement Data Engineering solutions
    • Collaborating with the customers data scientists and data stewards/governors during workshop sessions to uncover more detailed business requirements related to data engineering


What kind of career progression can you expect ?

    • You can grow into a Cloud Data Engineer Lead or a Cloud Data Architect
    • There are opportunities for relocation in our other cloudy hubs

How to stand out ?

    • Experience in building scalable end-to-end data ingestion and processing solutions
    • Good understanding of data infrastructure and distributed computing principles
    • Proficient at implementing data processing workflows using Hadoop and frameworks such as Spark and Flink
    • Good understanding of data governance and how regulations can impact data storage and processing solutions such as GDPR and PCI
    • Ability to identify and select the right tools for a given problem, such as knowing when to use a relational or non-relational database
    • Working knowledge of non-relational and row/columnar based relational databases
    • Experience with Machine Learning toolkits
    • Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala
    • This position requires travel up to 70% (M-F) any given week, with an average of 50% per year


What are our cloudy perks?

      A M
    • a
        c
      • Book Pro and iphone or google pixel (your pick!)
      • Unique cloudy culture -- we work hard and play hard
      • Uncapped holidays and your birthday off
      • World-class training and career development opportunities through our own Cloudy University
      • Centrally-located offices
      • Fully stocked kitchen and team cloudy lunches, taking over a restaurant or two every Friday
      • Office amenities like pool tables and Xbox on the big screen TV
      • Working with a collaborative, social team, and growing your skills faster than you will anywhere else
      • Quarterly kick-off events with the opportunity to travel abroad
      • Full benefits and 401k match


    If you want to learn more, check us out on Glassdoor. Not if. When will you join Cloudreach?

Cloudreach
  • Atlanta, GA

Big dreams often start small. From an idea in a London pub, we have grown into a global cloud enabler which operates across 7 countries and speak over 30 languages.


Our purpose at Cloudreach is to enable innovation. We do this by helping enterprise customers adopt and harness the power of cloud computing. We believe that the growth of a great business can only be fueled by great people, so join us in our partnership with AWS, Microsoft and Google and help us build one of the most disruptive companies in the cloud industry. Its not your average job, because Cloudreach is not your average company.


Mission:

The purpose of a Cloud Data Architect is to design solution that enable data scientists and analysts to gain insights into data using data-driven cloud based services and infrastructures. At Cloudreach, they will be subject matter experts and will be responsible for the stakeholder management and technical leadership for data ingestion and processing engagements. A good understanding of cloud platforms and prior experience working with big data tooling and frameworks is required.


What will you do at Cloudreach?

  • Build technical solutions required for optimal ingestion, transformation, and loading of data from a wide variety of data sources using open source, AWS, Azure or GCP big data frameworks and services.
  • Work with the product and software team to provide feedback surrounding data-related technical issues and support for data infrastructure needs uncovered during customer engagements / testing.
  • Understand and formulate processing pipelines of large, complex data sets that meet functional / non-functional business requirements.
  • Create and maintain optimal data pipeline architecture
  • Working alongside Cloud Data Engineers, Cloud System Developers and Cloud Enablement Manager to implement Data Engineering solutions
  • Collaborating with the customers data scientists and data stewards during workshop sessions to uncover more detailed business requirements related to data engineering
  • This position requires travel up to 70% (M-F) any given week, with an average of 50% per year


What do we look for?

The Cloud Data Architect has extensive experience working with big data tools and supporting cloud services, a pragmatic mindset focused on translating functional and non-functional requirements into viable architectures, and ideally a consultancy background, leading a highly skilled team on engagements that implement complex and innovative data solutions for clients.


In addition, the Cloud Data Architect thrives in a collaborative and agile environment with an ability to learn new concepts easily.


  • Technical
      skills:
  • Exper
    • ience in building scalable end-to-end data ingestion and processing solutions Good
    • understanding of data infrastructure and distributed computing principles Profi
    • cient at implementing data processing workflows using Hadoop and frameworks such as Spark and Flink Good
    • understanding of data governance and how regulations can impact data storage and processing solutions such as GDPR and PCI Abili
    • ty to identify and select the right tools for a given problem, such as knowing when to use a relational or non-relational database Worki
    • ng knowledge of non-relational and row/columnar based relational databases Exper
    • ience with Machine Learning toolkits Exper
    • ience with object-oriented and/or functional programming languages, such as Python, Java and Scala
    • Demonstrable working experience
      • A successful history of manipulating, processing and extracting value from large disconnected datasets
      • Delivering production scale data engineering solutions leveraging one or more cloud services
      • Confidently taking responsibility for the technical output of a project
      • Ability to quickly pick up new skills and learn on the job
      • Comfortably working with various stakeholders such as data scientists, architects and other developers
    • Solid communication skills: You can clearly articulate the vision and confidently communicate with all stakeholder levels: Cloudreach, Customer, 3rd Parties and Partners - both verbal and written. You are able to identify core messages and act quickly and appropriately.


    What are our cloudy perks?

    • A MacBook Pro and smartphone.
    • Unique cloudy culture -- we work hard and play hard.
    • Uncapped holidays and your birthday off.
    • World-class training and career development opportunities through our own Cloudy University.
    • Centrally-located offices.
    • Fully stocked kitchen and team cloudy lunches, taking over a restaurant or two every Friday.
    • Office amenities like pool tables and Xbox on the big screen TV.
    • Working with a collaborative, social team, and growing your skills faster than you will anywhere else.
    • Full benefits and 401k match.
    • Kick-off events at cool locations throughout the country.
Accenture
  • Houston, TX
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
AWS Big Data Engineering professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, AWS data services, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
    • Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
    • Leads and supports client sales pursuits.
    • Collaborates with highly talented resource pool and helps lead the Community of Data practice.
    • Key participant in setting strategic direction to establish near term goals for area of responsibility.
    • Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
    • Has latitude in decision-making and determining objectives and approaches to critical assignments .
    • Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
    • Mana
    • ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

    Basic Qualifications
      • 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
      • 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
      • 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
      • Must be able to travel 100% (Mon-Thurs)
      • Bachelors degree or 12 years professional experience
      • 5 years of experience developing solutions utilizing:
        • Kafka based streaming services
        • R Studio
        • RDS, S3, glacier
        • MapReduce, Pig, Hive
        • Scala, Spark
    Preferred Qualifications
      • Experience as a consulting manager in a top-tier consulting firm preferred
      • Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
      • Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
      • Experience with delivering Big Data Solutions in the cloud with AWS
      • Ability to configure and support API and Opensource integrations
      • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
      • Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
      • Experience with DevOps support
      • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    Professional Skill Requirements
    • Proven success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Desire to work in an information systems environment
    • Excellent communication (written and oral) and interpersonal skills
    • Ability to work with senior client executives
    Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
    Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
    Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
    Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
    Equal Employment Opportunity
    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
    Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Atlanta, GA
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
AWS Big Data Engineering professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, AWS data services, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
    • Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
    • Leads and supports client sales pursuits.
    • Collaborates with highly talented resource pool and helps lead the Community of Data practice.
    • Key participant in setting strategic direction to establish near term goals for area of responsibility.
    • Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
    • Has latitude in decision-making and determining objectives and approaches to critical assignments .
    • Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
    • Mana
    • ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

    Basic Qualifications
      • 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
      • 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
      • 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
      • Must be able to travel 100% (Mon-Thurs)
      • Bachelors degree or 12 years professional experience
      • 5 years of experience developing solutions utilizing:
        • Kafka based streaming services
        • R Studio
        • RDS, S3, glacier
        • MapReduce, Pig, Hive
        • Scala, Spark
    Preferred Qualifications
      • Experience as a consulting manager in a top-tier consulting firm preferred
      • Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
      • Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
      • Experience with delivering Big Data Solutions in the cloud with AWS
      • Ability to configure and support API and Opensource integrations
      • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
      • Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
      • Experience with DevOps support
      • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    Professional Skill Requirements
    • Proven success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Desire to work in an information systems environment
    • Excellent communication (written and oral) and interpersonal skills
    • Ability to work with senior client executives
    Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
    Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
    Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
    Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
    Equal Employment Opportunity
    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
    Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Dallas, TX
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
AWS Big Data Engineering professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, AWS data services, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
    • Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
    • Leads and supports client sales pursuits.
    • Collaborates with highly talented resource pool and helps lead the Community of Data practice.
    • Key participant in setting strategic direction to establish near term goals for area of responsibility.
    • Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
    • Has latitude in decision-making and determining objectives and approaches to critical assignments .
    • Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
    • Mana
    • ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

    Basic Qualifications
      • 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
      • 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
      • 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
      • Must be able to travel 100% (Mon-Thurs)
      • Bachelors degree or 12 years professional experience
      • 5 years of experience developing solutions utilizing:
        • Kafka based streaming services
        • R Studio
        • RDS, S3, glacier
        • MapReduce, Pig, Hive
        • Scala, Spark
    Preferred Qualifications
      • Experience as a consulting manager in a top-tier consulting firm preferred
      • Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
      • Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
      • Experience with delivering Big Data Solutions in the cloud with AWS
      • Ability to configure and support API and Opensource integrations
      • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
      • Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
      • Experience with DevOps support
      • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    Professional Skill Requirements
    • Proven success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Desire to work in an information systems environment
    • Excellent communication (written and oral) and interpersonal skills
    • Ability to work with senior client executives
    Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
    Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
    Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
    Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
    Equal Employment Opportunity
    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
    Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Minneapolis, MN
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
AWS Big Data Engineering professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, AWS data services, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
    • Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
    • Leads and supports client sales pursuits.
    • Collaborates with highly talented resource pool and helps lead the Community of Data practice.
    • Key participant in setting strategic direction to establish near term goals for area of responsibility.
    • Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
    • Has latitude in decision-making and determining objectives and approaches to critical assignments .
    • Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
    • Mana
    • ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

    Basic Qualifications
      • 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
      • 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
      • 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
      • Must be able to travel 100% (Mon-Thurs)
      • Bachelors degree or 12 years professional experience
      • 5 years of experience developing solutions utilizing:
        • Kafka based streaming services
        • R Studio
        • RDS, S3, glacier
        • MapReduce, Pig, Hive
        • Scala, Spark
    Preferred Qualifications
      • Experience as a consulting manager in a top-tier consulting firm preferred
      • Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
      • Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
      • Experience with delivering Big Data Solutions in the cloud with AWS
      • Ability to configure and support API and Opensource integrations
      • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
      • Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
      • Experience with DevOps support
      • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    Professional Skill Requirements
    • Proven success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Desire to work in an information systems environment
    • Excellent communication (written and oral) and interpersonal skills
    • Ability to work with senior client executives
    Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
    Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
    Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
    Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
    Equal Employment Opportunity
    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
    Accenture is committed to providing veteran employment opportunities to our service men and women.
Expedia Group - Europe
  • London, UK

Expedia needs YOU!


At Hotels.com (part of the Expedia Group) ensuring that our customers find the perfect hotel is an exciting mission for our technology teams.

We are looking for a Software Development Engineer to join our awesome team of bright minds. We are building Hotels.com's data streaming and ingestion platform, reliably handling many thousands of messages every second.

Our platform enables data producers and consumers to easily share and process information. We have built and continue to improve our platform using open source projects such as: Kafka, Kubernetes and Java Spring, all running in the cloud, and we love contributing our work back to the open source community.


What you'll do:


Are you interested in building a world-class, fast-growing data platform in the cloud?



  • Are you keen to work with and contribute to open source projects?

  • Do you have a real passion for clean code and finding elegant solutions to problems?

  • Are you eager to learn streaming, cloud and big data technologies and keep your skills up to date?

  • If any of those are true... Hotels.com is looking for you!

  • We seek an enthusiastic, experienced and reliable engineer who enjoys getting things done.

  • You should have good communication skills and be equally comfortable clearly explaining technical problems and solutions with analysts, engineers and product managers.

  • We welcome your fresh ideas and approaches as we constantly aim to improve our development methodologies.

  • Our team has experience using a wide range of cutting edge technologies and years of streaming, cloud and big data experience.

  • We are always learning and growing, so we guarantee that you won't be bored with us!


We don’t believe in skill matching against a list of buzzwords…

However we do believe in hiring smart, friendly and creative people, with excellent programming abilities, who are on a journey to mastery through craftsmanship. We believe great developers can learn new technologies quickly and effectively but it wouldn't hurt if you have experience with some of the following (or a passion to learn them):

Technologies:
Kafka, Kubernetes, Spring, AWS, Spark Streaming, Hive, Flink, Docker.

Experience:
Modern core and server side Java (concurrency, streams, reactive, lambdas).
Microservice architecture, design, and standard methodologies with an eye towards scale.
Building and debugging highly scalable performant systems.
Actively contributing to Open Source Software.


What you’ll do:



  • Write clean, efficient, thoroughly tested code, backed-up with pair programming and code reviews.

  • Much of our code is Java, but we use all kinds of languages and frameworks.

  • Be part of an agile team that is continuously learning and improving.

  • Develop scalable and highly-performant distributed systems with everything this entails (availability, monitoring, resiliency).

  • Work with our business partners to flesh out and deliver on requirements in an agile manner.

  • Evolve development standards and practices.

  • Take architectural ownership for various critical components and systems.

  • Proactive problem solving at the organization level.

  • Communicate and document solutions and design decisions.

  • Build bridges between technical teams to enable valuable collaborations.


As a team we love to:



  • Favor clean code, and simple, robust architecture.

  • Openly share knowledge in order to grow and develop our team members.

  • Handle massive petabyte-scale data sets.

  • Host and attend meetups and conferences to present our work. This year we've presented at the

  • Dataworks Summit in Berlin and the Devoxx Conference in London.

  • Contribute to Open Source. In recent years our team created Circus Train, Waggle Dance, BeeJU, CORC, Plunger, Jasvorno and contributed to Confluent, aws-alb-ingress-controller, S3Proxy, Cascading, Hive, HiveRunner, Kafka and Terraform. In addition, we are currently working towards open sourcing our streaming platform.

  • Create an inclusive and fun workplace.


Do all of this in a comfortable, modern office, with a massive roof terrace in great location within central London!


We’ll take your career on a journey that’s flexible and right for you; recognizing and rewarding your achievements:

A conversation around flexible working and what will best fit you is encouraged at Hotels.com.
Competitive salaries and many growth opportunities within the wider global Expedia Group.
Option to attend conferences globally and enrich the technology skills you are passionate about.
Cash and Stock rewards for outstanding performance.
Extensive travel rewards and discounts for all employees, perfect for ticking some destinations off your bucket list!


We believe that a diverse and inclusive workforce, is the most awesome workforce…
We believe in being Different. We seek new ideas, different ways of thinking, diverse backgrounds and approaches, because averages can lie and conformity is dangerous.
Expedia is committed to crafting an inclusive work environment with a diverse workforce. You will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Why join us:
Expedia Group recognizes our success is dependent on the success of our people.  We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business.  Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so. 


Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach.  We relentlessly strive for better, but not at the cost of the customer.  We act with humility and optimism, respecting ideas big and small.  We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple.  Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.


If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.


Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.


We’re excited for you to make Expedia an even more awesome place to work!
So what are you waiting for? Apply now and join us on our journey to become the #1 travel company in the world!



Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Viome
  • Santa Clara, CA

Viome is a wellness as a service company that applies artificial intelligence and machine learning to biological data – e.g., microbiome, transcriptome and metabolome data – to provide personalized recommendations for healthy living. We are an interdisciplinary and passionate team of experts in biochemistry, microbiology, medicine, artificial intelligence and machine learning.

We are seeking an experienced and energetic individual for a Senior Backend Software Engineer position who can work onsite at our Santa Clara, CA, office.

Responsibilities:



  • Collaborate with AI/ML and Bioinformatics engineers to gather specific requirements to design innovative solutions

  • Support the entire application lifecycle (concept, design, test, release, and support)

  • Produce fully functional web applications

  • Develop REST APIs to support queries from web clients

  • Design database schemas to support applications

  • Develop Web Applications for internal scientists and operation teams

  • Architect distributed solutions to help applications scale

  • Write unit and UI tests to identify malfunctions

  • Troubleshoot and debug to optimize performance



Qualifications:



  • BS/MS degree in Computer Science or related field with 7+ years of relevant experience

  • Strong Scala, Core Java, Spring Boot, Microservices, Akka/Play Framework, HTML, CSS, JavaScript, React, Redux, PostgreSQL

  • Advanced knowledge of build scripts and tools such as Ansible, Jenkins, CircleCI, Apache Maven, Gradle, AWS CodeDeploy and similar

  • Proven experience with relational database design, object-oriented programming principles, event-driven design principles, and distributed processing design principles

  • Solid understanding of information security standards and methodologies

  • Familiarity with cloud technologies such as AWS and distributed processing technologies such as MapReduce, Hadoop and Spark is a big plus

  • Previous experience scaling large backends (1M+ users) is a big plus



Viome is 130+ person start-up offering a successful commercial product that has generated high demand. With offices in California, New Mexico, New York, and Washington, we are looking to hire team members capable of working in dynamic environments, who have a positive attitude and enjoy collaboration. If you have the skills and are excited about Viome’s mission, we’d love to hear from you.

PrimeRevenue
  • Atlanta, GA

ARE YOU READY TO WORK AT PRIMEREVENUE?

Do you want to work for a high growth, FinTech company helping other companies innovate, grow and create jobs? Do you enjoy working within an entrepreneurial environment that is mission-driven, results-driven and community oriented? Were looking for a Director of Data Architecture to continue the impressive development of our data enterprise, exposing our customers to the wealth of insights and predictive analytics. The Director will be responsible for design, development, and execution of data product initiatives. This individual will be part of multi-disciplinary team including data architects, BI developers, technical architects, data scientist, engineering, and operational teams for data products.  

WHAT YOU GET TO DO:

    • Design, create, deploy and manage our organization's data architecture
    • Develop and own our Data Product Roadmap
    • Map the systems and interfaces used to manage data, set standards for data management, analyze current state and conceive desired future state, and conceive projects needed to close the gap between current state and future goals
    • Provide a standard common business vocabulary, express strategic data requirements, outline high level integrated designs to meet these requirements, and align with enterprise strategy and related business architecture
    • Set data architecture principles, create models of data that enable the implementation of the intended business architecture
    • Create diagrams showing key data entities, and create an inventory of the data needed to implement the architecture vision
    • Drive all phases of data modelling, from conceptualization to database optimization, including SQL development and any database administration
    • Design ETL architecture



WHAT ARE WE LOOKING FOR?

  • Bachelor's degree in Computer Science or related discipline
  • Minimum 10 years working in data products organization
  • Knowledge of relational and dimensional data modelling
  • Knowledge of RDBMS solution (DB2, Oracle)
  • Excellent SQL skills
  • Experienced in Agile methodologies
  • Deep understanding of Data Management principles
  • Strong oral and written communication skills
  • Strong leadership skills
  • BI tools (Tableau, MicroStrategy)
  • Experience architecting enterprise data lakes in AWS
  • Hands-on experience with Hadoop frameworks/tools such as Kinesis, Glue, Redshift, Spark, Hive, Pig etc
  • Experience with distributions in Amazon EMR
  • Previous work with NoSQL databases such as PostgreSQL, MongoDB


WHO ARE YOU?

SMART, HUNGRY, & HUMBLE PERSONALITY IS A MUST!


WORKING AT PRIMEREVENUE BENEFITS:

    • Professional growth within our company
    • Monthly fun TEAM events
    • Generous benefits package
    • Community Service-Oriented Culture
KI labs GmbH
  • München, Germany
  • Salary: €70k - 95k

About Us


At KI labs we design and build state of the art software and data products and solutions for the major brands of Germany and Europe. We aim to push the status quo of technology in corporations, with special focus areas of software, data and culture. Inside, we are a team of software developers, designers, product managers and data scientists, who are passionate about building the products of future today. We believe in open-source and independent teams, follow Agile practices, lean startup method and aim to share this culture with our clients. We are mainly located in Munich and recently Lisbon.


Your Responsibilities



  • Lead and manage a team of talented Data Engineers and Data Scientists in a diverse environment.

  • Ensure success of your team members and foster their career growth.

  • Ensure that the technology stacks, infrastructure, software architecture and development methods we use provide for an efficient project delivery and sustainable company growth.

  • Use your extensive practical expertise to help teams design, build and scale efficient and elegant data products on cloud computing platforms such as AWS, Azure, or Google Cloud Platform.

  • Enable and facilitate a data-driven culture for internal and external clients, and use advanced data pipelines to generate insights;


Skills and qualifications



  • Advanced degree in Computer Science, Engineering, Data Science, Applied Mathematics, Statistics or related fields;

  • Substantial practical experience in software and data engineering.

  • You are an authentic leader, keen on leading by example rather than by direct top-down management;

  • You are committed to operational excellence and to facilitating team communication and collaboration on a daily basis.

  • You like to see the big picture and you have a deep understanding of the building blocks of large-scale data architectures and pipelines.

  • You have passion for data, be it at crunching, transforming or visualising large data streams;

  • You have working knowledge of programming languages such as Python, Java, Scala, or Go

  • You have working knowledge of modern big data tooling and frameworks (Hadoop, Spark, Flink, Kafka, etc.), data storage systems, analytics tools, and ideally machine learning platforms.


Why work with us



  • You will have an opportunity to be at the frontline of innovation together with our prominent clients, influencing the car you drive in five years, the services you have on your flight, and the way you pay for your morning coffee.

  • Working closely with our leadership team, you will have a real chance to influence what our quickly growing company looks like in 3 years.

  • You get a challenging working environment located in the center of Munich and Lisbon and an ambitious team of individuals with unique backgrounds and expertise.

  • You get the chance to work on various interesting projects in short time frames; we do not do work on maintenance or linear projects.

  • We have an open-door work culture where ideas and initiatives are encouraged.

  • We offer a performance-based competitive salary.

Epidemic Sound AB
  • Stockholm, Sweden

At Epidemic Sound we are reinventing the music industry. Our carefully curated music library, with over 30,000 tracks, is tailored for storytellers no matter what their story is. Countless customers around the world, from broadcasters, productions companies and YouTubers rely on our tracks to help them tell their stories. Epidemic Sound’s music is heard in hundreds of thousands of videos on online video platforms such as YouTube, Facebook, Twitch and Instagram. Our HQ is located in Stockholm with offices in NYC, LA, Hamburg, Amsterdam and Madrid. We are growing fast, we have lots of fun and we are transforming the music industry.


We are now looking for a Software Engineer!


Job description


In addition to the hundred of thousands of storytellers using our products, our music is heard tens of billions of times every month across Youtube, social media & music streaming platforms. We want to make maximum use of all this data to generate insights and enable data driven decisions both in our product development and for our musicians and business stakeholders.


As such, we are now looking to grow our Data Infrastructure Team with an experienced software engineer to help us design, develop and evolve our platform and products.


You can expect to:



  • Collaborate with our product-oriented teams during data-related projects to achieve reliable and scalable solutions

  • Design, develop and evolve the data pipelines that fuel our back-end services, machine learning platform and business intelligence systems.

  • Contribute to all stages of the product life-cycle: Design, implementation, testing, releasing and maintenance

  • Work in a lightweight agile process where we regularly evaluate how we work and try to improve

  • Collaborate constantly: We’re big believers in teamwork and the value of practices like careful code reviews, pair (or mob) programming etc

  • Learn a ton of new things: Be it through hack-days, courses, conferences or tech-talks, we emphasize learning and we also expect you to share your knowledge with your colleagues

  • Have fun and take a lot of pride in what you and all of Epidemic Sound is doing


What are we looking for?



  • You have a great understanding of modern web architectures, distributed systems, data processing and storage solutions

  • You have strong knowledge of relational databases and SQL

  • You are able to find opportunities for data acquisition and new uses for existing data

  • You enjoy working with multiple stakeholders and feel comfortable prioritizing internal and external requirements

  • You love teamwork

  • You speak English with professional working proficiency (Swedish is not a requirement)


It would also be music to our ears if:



  • You have experience in one or more of the following: Python, AWS ecosystem, Google Cloud Platform

  • You have experience working with data processing and querying engines such as Spark Hadoop, BigQuery or Kafka

  • You have experience with multiple storage solutions such as columnar oriented databases, NoSQL or Graph databases


Application


Do you want to be a part of our fantastic team? Send us your cover letter and CV as soon as possible - interviews are held continuously. We look forward hearing from you!

Sixt SE
  • München, Deutschland

Sixt is one of the biggest technology-driven mobility companies in the world. We will add a number of attractive services to our mobility portfolio in the near future. Our SIXT App is the central interface for our services: It allows customers to plan their journeys, open and close cars via telematics, review their usage data and much more. It is built on a state-of-the-art infrastructure: Cloud-native, microservices-based, event-driven – you name it. We are looking for an experienced Go developer (m/f/d) to drive extending and partly refactoring and rebuilding existing services and adding new ones to allow seamless integration. Scalability, very high availability and low operational cost are the key requirements. Defining slim, yet powerful interfaces and maturing them with our partners will be an important part of the work. We are engineering the future of mobility! Sixt stands for success, agility, ownership and an intercultural team. Apply now and join our journey and become a part of the Sixt family.


Do what you love:



  • You will be responsible for designing, building and evolving customer-facing distributed systems for our platform on the cloud.

  • You will work on event-driven systems and keep yourself up to date with the latest technologies to help you create scalable and resilient software.

  • You will work in a diverse, international team using agile methodologies, constantly striving to improve team collaboration and processes.

  • You will participate in on-call rotations and be available for escalations ensuring that our team's critical services are always up.

  • You will collaborate effectively with teammates, technical and business partners, internally and externally.


Come as you are:



  • You have experience in a technology environment, building cloud-native applications, solving scalability challenges, designing event-driven solutions - ideally in a dynamic startup setting.

  • You have at least 3 years development experience in Go, building distributed applications.

  • You have already designed distributed systems, worked on microservices architectures and developed large-scale interfaces used by many partners.

  • You are passionate about constantly learning new skills and improving yourself; you also bring a coaching mentality and share your knowledge with the team.

  • You have excellent communication skills and enjoy working with developers as well as business stakeholders, with college graduates as well as board members and external partners as well.


Feel Good:


In addition to the obligatory table football, driving simulators and ping-pong table, we have two dedicated Feel Good Managers who focus on the wellbeing of our Sixt Tech colleagues. Amongst other things they will support you with your relocation, finding accommodation, visa issues and help you to organize team events, Meetups and Townhalls. Our offices have different sizes, you will definitely find something according to your preferences. We follow no dress code. Fun at work and beyond: As a member of the Sixt Family you get attractive car rental and leasing offers as well as access to our large employee benefit portal where you find multitudes of offers for travelling, shopping and more. During breakfast, lunch and dinner our high-quality restaurant offers a daily changing menu. Meat, fish and vegetarian dishes are available, as well as a salad bar and freshly-baked pizza. Our coffee lounge for meeting and relaxing is opened the whole day. Come as you are, and do what you love: Join our 320 IT colleagues and apply now (English or German preferred)!

Accenture
  • Detroit, MI
Position: Full time
Travel: 100% travel
Join Accenture Digital and leave your digital mark on the world, enhancing millions of lives through digital transformation. Where you can create the best customer experiences and be a catalyst for first-to-market digital products and solutions using machine-learning, AI, big data and analytics, cloud, mobility, robotics and the industrial internet of things. Your work will redefine the way entire industries work in every corner of the globe.
Youll be part of a team with incredible end-to-end digital transformation capabilities that shares your passion for digital technology and takes pride in making a tangible difference. If you want to contribute on an incredible array of the biggest and most complex projects in the digital space, consider a career with Accenture Digital.
Basic Qualifications
    • Bachelor's degree in Computer Science, Engineering, Technical Science or 3 years of IT/Programming experience.
    • Minimum 2+ years of expertise in designing, implementing large scale data pipelines for data curation and analysis, operating in production environments, using Spark, pySpark, SparkSQL, with Java, Scala or Python on premise or on Cloud (AWS, Google or Azure)
    • Minimum 1 year of designing and building performant data models at scale for using Hadoop, NoSQL, Graph or Cloud native data stores and services.
    • Minimum 1 year of designing and building secured Big Data ETL pipelines, using Talend or Informatica Big Data Editions; for data curation and analysis of large scale production deployed solutions.
    • Minimum 6 months of experience designing and building data models to support large scale BI, Analytics and AI solutions for Big Data.
Preferred Skills
    • Minimum 6 months of expertise in implementation with Databricks.
    • Experience in Machine learning using Python ( sklearn) ,SparkML , H2O and/or SageMaker.
    • Knowledge of Deep Learning (CNN, RNN, ANN) using TensorFlow.
    • Knowledge of Auto Machine Learning tools ( H2O, Datarobot, Google AutoML).
    • Minimum 2 years designing and implementing large scale data warehousing and analytics solutions working with RDBMS (e.g. Oracle, Teradata, DB2, Netezza,SAS) and understanding of the challenges and limitations of these traditional solutions.
    • Minimum 1 year of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale, Jethro and others.
    • Minimum 1 year of experience building data management (metadata, lineage, tracking etc.) and governance solutions for big data platforms on premise or on AWS, Google and Azure cloud.
    • Minimum 1 year of Re-architecting and rationalizing traditional data warehouses with Hadoop, Spark or NoSQL technologies on premise or transition to AWS, Google clouds.
    • Experience implementing data preparation technologies such as Paxata, Trifacta, Tamr for enabling self-service solutions.
    • Minimum 1 year of building Business Data Catalogs or Data Marketplaces on top of a Hybrid data platform containing Big Data technologies (e.g Alation, Informatica or custom portals).
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job Candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women .
Acxiom
  • Austin, TX
As a Senior Hadoop Administrator, you will assist leadership for projects related to Big Data technologies and software development support for client research projects. You will analyze the latest Big Data Analytic technologies and their innovative applications in both business intelligence analysis and new service offerings. You will bring these insights and best practices to Acxiom's Big Data Projects. You are able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them. You will develop highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You are also a self-starter able to continuously evaluate new technologies, innovate and deliver solutions for business critical applications


What you will do:


  • Responsible for implementation and ongoing administration of Hadoop infrastructure
  • Provide technical leadership and collaboration with engineering organization, develop key deliverables for Data Platform Strategy - Scalability, optimization, operations, availability, roadmap.
  • Lead the platform architecture and drive it to the next level of effectiveness to support current and future requirements
  • Cluster maintenance as well as creation and removal of nodes using tools like Cloudera Manager Enterprise, etc.
  • Performance tuning of Hadoop clusters and Hadoop MapReduce routines
  • Screen Hadoop cluster job performances and capacity planning
  • Help optimize and integrate new infrastructure via continuous integration methodologies (DevOps CHEF)
  • Lead and review Hadoop log files with the help of log management technologies (ELK)
  • Provide top-level technical help desk support for the application developers
  • Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality, availability and security
  • Collaborating with application teams to perform Hadoop updates, patches, version upgrades when required
  • Mentor Hadoop engineers and administrators
  • Work with vendor support teams on support tasks


Do you have?


  • Bachelor's degree in related field of study, or equivalent experience
  • 6+ years of Big Data Administration Experience
  • Extensive knowledge and Hands-on Experience of Hadoop based data manipulation/storage technologies like HDFS, MapReduce, Yarn, Spark/Kafka, HBASE, HIVE, Pig, Impala, R and Sentry/Ranger/Knox
  • Experience in capacity planning, cluster designing and deployment, troubleshooting and performance tuning
  • Experience supporting Data Science teams and Analytics teams on complex code deployment, debugging and performance optimization problems
  • Great operational expertise such as excellent troubleshooting skills, understanding of system's capacity, bottlenecks, core resource utilizations (CPU, OS, Storage, and Networks)
  • Experience in Hadoop cluster migrations or upgrades
  • Strong scripting skills in Perl, Python, shell scripting, and/or Ruby on Rails
  • Linux/SAN administration skills and RDBMS/ETL knowledge
  • Good Experience in Cloudera, HortonWorks, and/or MapR versions along with monitoring/alerting tools (Nagios, Ganglia, Zenoss, Cloudera Manager)
  • Strong problem solving and critical thinking skills
  • Excellent verbal and written communication skills


What will set you apart:


  • Solid understanding and hands-on experience of Big Data on private/public cloud technologies(AWS/GCP/Azure)
  • DevOps experience (CHEF, Puppet and Ansible)
  • Strong knowledge of JAVA/J2EE and other web technologies

 
TomTom
  • Amsterdam, Netherlands
At TomTom…

You’ll move the world forward. Every day, we create the most innovative mapping and location technologies to shape tomorrow’s mobility for the better.


We are proud to be one team of more than 5,000 unique, curious, passionate problem-solvers spread across the world. We bring out the best in each other. And together, we help the automotive industry, businesses, developers, drivers, citizens and cities move towards a safe, autonomous world that is free of congestion and emissions.

What you’ll do



  • Have a direct impact on our solutions for automated HD mapping, closely interacting with R&D engineers

  • Design, implement and extend our large-scale codebase in Python & TensorFlow, containing both prototyping and production code

  • Implement internal tools and services to make our machine learning solutions work in production



What you’ll need



  • Expert knowledge of Python

  • Hands-on experience with Cloud Computing (AWS, Azure), Microservices, Containers, CI/CD (Jenkins)

  • Experience with writing clean, elegant and maintainable production-level code

  • Ability to participate in the development and delivery cycle, from analysis, through implementation, to deployment and maintenance in production

  • Good understanding of mathematics, geometry, statistics, and software design principles



What’s nice to have



  • Experience with modern C++

  • Experience with deep learning frameworks, e.g., TensorFlow or PyTorch

  • High motivation for getting research products and prototypes into production

  • Being technically proactive, learning about new technologies, judging their value, and promoting their adoption when beneficial

  • Creative problem solver and team player; TomTom is a collaborative environment



Meet your team



We’re Autonomous Driving (AD). Our product unit develops, delivers and maintains products for advanced driver-assistance systems and automated driving – with the TomTom HD Map at the core of our work. Every day, we welcome new challenges, do world-class R&D and apply it using the latest machine learning and computer vision techniques. On our team, you’ll not only play a part in making autonomous driving a reality, you’ll transform the way people commute while boosting safety and comfort for everyone on the road.




Achieve more

We are self-starters who play well with others. Every day, we solve new problems with creativity, meet new people and learn rapidly at our offices around the world. We will invest in your growth and are committed to supporting you. In everything we do, we’re guided by six values: We care, putting our heart into what we do; we build trust (you can count on us); we create – driven to make a difference; we are confident, but don’t boast; we keep it simple, since life is complex enough; and we have fun because life’s too short to be boring. 

After you apply

Our recruitment team will work hard to give you a meaningful experience throughout the process, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews through your onboarding.

TomTom is an equal opportunity employer

We celebrate diversity, thrive on each other’s differences and are committed to creating an inclusive environment at our offices around the world. Naturally, we do not discriminate against any employee or job applicant because of race, religion, color, sexual orientation, gender, gender identity or expression, marital status, disability, national origin, genetics, or age.

Ready to move the world forward?

Accenture
  • Minneapolis, MN
Position: Full time
Travel: 100% travel
Join Accenture Digital and leave your digital mark on the world, enhancing millions of lives through digital transformation. Where you can create the best customer experiences and be a catalyst for first-to-market digital products and solutions using machine-learning, AI, big data and analytics, cloud, mobility, robotics and the industrial internet of things. Your work will redefine the way entire industries work in every corner of the globe.
Youll be part of a team with incredible end-to-end digital transformation capabilities that shares your passion for digital technology and takes pride in making a tangible difference. If you want to contribute on an incredible array of the biggest and most complex projects in the digital space, consider a career with Accenture Digital.
Basic Qualifications
    • Bachelor's degree in Computer Science, Engineering, Technical Science or 3 years of IT/Programming experience.
    • Minimum 2+ years of expertise in designing, implementing large scale data pipelines for data curation and analysis, operating in production environments, using Spark, pySpark, SparkSQL, with Java, Scala or Python on premise or on Cloud (AWS, Google or Azure)
    • Minimum 1 year of designing and building performant data models at scale for using Hadoop, NoSQL, Graph or Cloud native data stores and services.
    • Minimum 1 year of designing and building secured Big Data ETL pipelines, using Talend or Informatica Big Data Editions; for data curation and analysis of large scale production deployed solutions.
    • Minimum 6 months of experience designing and building data models to support large scale BI, Analytics and AI solutions for Big Data.
Preferred Skills
    • Minimum 6 months of expertise in implementation with Databricks.
    • Experience in Machine learning using Python ( sklearn) ,SparkML , H2O and/or SageMaker.
    • Knowledge of Deep Learning (CNN, RNN, ANN) using TensorFlow.
    • Knowledge of Auto Machine Learning tools ( H2O, Datarobot, Google AutoML).
    • Minimum 2 years designing and implementing large scale data warehousing and analytics solutions working with RDBMS (e.g. Oracle, Teradata, DB2, Netezza,SAS) and understanding of the challenges and limitations of these traditional solutions.
    • Minimum 1 year of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale, Jethro and others.
    • Minimum 1 year of experience building data management (metadata, lineage, tracking etc.) and governance solutions for big data platforms on premise or on AWS, Google and Azure cloud.
    • Minimum 1 year of Re-architecting and rationalizing traditional data warehouses with Hadoop, Spark or NoSQL technologies on premise or transition to AWS, Google clouds.
    • Experience implementing data preparation technologies such as Paxata, Trifacta, Tamr for enabling self-service solutions.
    • Minimum 1 year of building Business Data Catalogs or Data Marketplaces on top of a Hybrid data platform containing Big Data technologies (e.g Alation, Informatica or custom portals).
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job Candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women .
Accenture
  • Atlanta, GA
Position: Full time
Travel: 100% travel
Join Accenture Digital and leave your digital mark on the world, enhancing millions of lives through digital transformation. Where you can create the best customer experiences and be a catalyst for first-to-market digital products and solutions using machine-learning, AI, big data and analytics, cloud, mobility, robotics and the industrial internet of things. Your work will redefine the way entire industries work in every corner of the globe.
Youll be part of a team with incredible end-to-end digital transformation capabilities that shares your passion for digital technology and takes pride in making a tangible difference. If you want to contribute on an incredible array of the biggest and most complex projects in the digital space, consider a career with Accenture Digital.
Basic Qualifications
    • Bachelor's degree in Computer Science, Engineering, Technical Science or 3 years of IT/Programming experience.
    • Minimum 2+ years of expertise in designing, implementing large scale data pipelines for data curation and analysis, operating in production environments, using Spark, pySpark, SparkSQL, with Java, Scala or Python on premise or on Cloud (AWS, Google or Azure)
    • Minimum 1 year of designing and building performant data models at scale for using Hadoop, NoSQL, Graph or Cloud native data stores and services.
    • Minimum 1 year of designing and building secured Big Data ETL pipelines, using Talend or Informatica Big Data Editions; for data curation and analysis of large scale production deployed solutions.
    • Minimum 6 months of experience designing and building data models to support large scale BI, Analytics and AI solutions for Big Data.
Preferred Skills
    • Minimum 6 months of expertise in implementation with Databricks.
    • Experience in Machine learning using Python ( sklearn) ,SparkML , H2O and/or SageMaker.
    • Knowledge of Deep Learning (CNN, RNN, ANN) using TensorFlow.
    • Knowledge of Auto Machine Learning tools ( H2O, Datarobot, Google AutoML).
    • Minimum 2 years designing and implementing large scale data warehousing and analytics solutions working with RDBMS (e.g. Oracle, Teradata, DB2, Netezza,SAS) and understanding of the challenges and limitations of these traditional solutions.
    • Minimum 1 year of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale, Jethro and others.
    • Minimum 1 year of experience building data management (metadata, lineage, tracking etc.) and governance solutions for big data platforms on premise or on AWS, Google and Azure cloud.
    • Minimum 1 year of Re-architecting and rationalizing traditional data warehouses with Hadoop, Spark or NoSQL technologies on premise or transition to AWS, Google clouds.
    • Experience implementing data preparation technologies such as Paxata, Trifacta, Tamr for enabling self-service solutions.
    • Minimum 1 year of building Business Data Catalogs or Data Marketplaces on top of a Hybrid data platform containing Big Data technologies (e.g Alation, Informatica or custom portals).
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job Candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women .
Accenture
  • Philadelphia, PA
Position: Full time
Travel: 100% travel
Join Accenture Digital and leave your digital mark on the world, enhancing millions of lives through digital transformation. Where you can create the best customer experiences and be a catalyst for first-to-market digital products and solutions using machine-learning, AI, big data and analytics, cloud, mobility, robotics and the industrial internet of things. Your work will redefine the way entire industries work in every corner of the globe.
Youll be part of a team with incredible end-to-end digital transformation capabilities that shares your passion for digital technology and takes pride in making a tangible difference. If you want to contribute on an incredible array of the biggest and most complex projects in the digital space, consider a career with Accenture Digital.
Basic Qualifications
    • Bachelor's degree in Computer Science, Engineering, Technical Science or 3 years of IT/Programming experience.
    • Minimum 2+ years of expertise in designing, implementing large scale data pipelines for data curation and analysis, operating in production environments, using Spark, pySpark, SparkSQL, with Java, Scala or Python on premise or on Cloud (AWS, Google or Azure)
    • Minimum 1 year of designing and building performant data models at scale for using Hadoop, NoSQL, Graph or Cloud native data stores and services.
    • Minimum 1 year of designing and building secured Big Data ETL pipelines, using Talend or Informatica Big Data Editions; for data curation and analysis of large scale production deployed solutions.
    • Minimum 6 months of experience designing and building data models to support large scale BI, Analytics and AI solutions for Big Data.
Preferred Skills
    • Minimum 6 months of expertise in implementation with Databricks.
    • Experience in Machine learning using Python ( sklearn) ,SparkML , H2O and/or SageMaker.
    • Knowledge of Deep Learning (CNN, RNN, ANN) using TensorFlow.
    • Knowledge of Auto Machine Learning tools ( H2O, Datarobot, Google AutoML).
    • Minimum 2 years designing and implementing large scale data warehousing and analytics solutions working with RDBMS (e.g. Oracle, Teradata, DB2, Netezza,SAS) and understanding of the challenges and limitations of these traditional solutions.
    • Minimum 1 year of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale, Jethro and others.
    • Minimum 1 year of experience building data management (metadata, lineage, tracking etc.) and governance solutions for big data platforms on premise or on AWS, Google and Azure cloud.
    • Minimum 1 year of Re-architecting and rationalizing traditional data warehouses with Hadoop, Spark or NoSQL technologies on premise or transition to AWS, Google clouds.
    • Experience implementing data preparation technologies such as Paxata, Trifacta, Tamr for enabling self-service solutions.
    • Minimum 1 year of building Business Data Catalogs or Data Marketplaces on top of a Hybrid data platform containing Big Data technologies (e.g Alation, Informatica or custom portals).
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job Candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women .
Accenture
  • San Diego, CA
Position: Full time
Travel: 100% travel
Join Accenture Digital and leave your digital mark on the world, enhancing millions of lives through digital transformation. Where you can create the best customer experiences and be a catalyst for first-to-market digital products and solutions using machine-learning, AI, big data and analytics, cloud, mobility, robotics and the industrial internet of things. Your work will redefine the way entire industries work in every corner of the globe.
Youll be part of a team with incredible end-to-end digital transformation capabilities that shares your passion for digital technology and takes pride in making a tangible difference. If you want to contribute on an incredible array of the biggest and most complex projects in the digital space, consider a career with Accenture Digital.
Basic Qualifications
    • Bachelor's degree in Computer Science, Engineering, Technical Science or 3 years of IT/Programming experience.
    • Minimum 2+ years of expertise in designing, implementing large scale data pipelines for data curation and analysis, operating in production environments, using Spark, pySpark, SparkSQL, with Java, Scala or Python on premise or on Cloud (AWS, Google or Azure)
    • Minimum 1 year of designing and building performant data models at scale for using Hadoop, NoSQL, Graph or Cloud native data stores and services.
    • Minimum 1 year of designing and building secured Big Data ETL pipelines, using Talend or Informatica Big Data Editions; for data curation and analysis of large scale production deployed solutions.
    • Minimum 6 months of experience designing and building data models to support large scale BI, Analytics and AI solutions for Big Data.
Preferred Skills
    • Minimum 6 months of expertise in implementation with Databricks.
    • Experience in Machine learning using Python ( sklearn) ,SparkML , H2O and/or SageMaker.
    • Knowledge of Deep Learning (CNN, RNN, ANN) using TensorFlow.
    • Knowledge of Auto Machine Learning tools ( H2O, Datarobot, Google AutoML).
    • Minimum 2 years designing and implementing large scale data warehousing and analytics solutions working with RDBMS (e.g. Oracle, Teradata, DB2, Netezza,SAS) and understanding of the challenges and limitations of these traditional solutions.
    • Minimum 1 year of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale, Jethro and others.
    • Minimum 1 year of experience building data management (metadata, lineage, tracking etc.) and governance solutions for big data platforms on premise or on AWS, Google and Azure cloud.
    • Minimum 1 year of Re-architecting and rationalizing traditional data warehouses with Hadoop, Spark or NoSQL technologies on premise or transition to AWS, Google clouds.
    • Experience implementing data preparation technologies such as Paxata, Trifacta, Tamr for enabling self-service solutions.
    • Minimum 1 year of building Business Data Catalogs or Data Marketplaces on top of a Hybrid data platform containing Big Data technologies (e.g Alation, Informatica or custom portals).
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job Candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women .