OnlyDataJobs.com

Burger King Corporation
  • Miami, FL

Position Overview:

This person will be key in the structuring of our new Guest Insights and Intelligence area within BK North America. Burger marketing analytics has evolved substantially over the past several years, to a point where we have a very detailed understanding of our sales on a product or ticket level. Nevertheless, our understanding of who is buying our products and offers is still very limited. With an increasingly competitive market, our objective is to create a new area that will have as its core focus the understanding of our guests, which ultimately will drive our strategy across several different initiatives, including calendar, pricing, innovation, advertising/communication. With more data available than ever coming from our mobile app, kiosks, POS, credit card, and external data sources, were looking for a data scientist with strong business judgment who will be able to help us structure and develop this area, effectively transforming how we look at marketing analytics at BK and eventually RBI.


Responsibilities & Qualifications:


    • 3-5 years of professional experience, masters degree a plus
    • Expertise in data modelling, visualization, and databases
    • Proficiency with statistical packages (e.g. SAS and R), database languages (e.g. SQL Server, MySQL, Oracle Express), and media measurement tools (e.g. DoubleClick, Omniture, Google Analytics)
    • Datab
      • ase design and implementation Machi
      • ne learning Time
      • series and forecasting Data
      • mining Linea
      • r and logistic regression Decis
      • ion trees Segme
      • ntation analysis Clust
      • ering techniques Marke
      • ting mix models Data
      • visualization techniques


  • Market research and competitive analysis aimed at driving growth
  • Comprehensive data analysis and manipulation to help identify trends
  • Strong interpersonal and communication skills

Restaurant Brands International US Services LLC (RBI) is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

Visa
  • Austin, TX
Company Description
Common Purpose, Uncommon
Opportunity. Everyone at Visa works with one goal in mind making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visas sponsorships, including the Olympics and FIFA World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the
world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to
be.
Job Description
The ideal candidate will be responsible for the following to:
  • Perform Hadoop Administration on Production Hadoop clusters
  • Perform Tuning and Increase Operational efficiency on a continuous basis
  • Monitor health of the platforms and Generate Performance Reports and Monitor and provide continuous improvements
  • Working closely with development, engineering and operation teams, jointly work on key deliverables ensuring production scalability and stability
  • Develop and enhance platform best practices
  • Ensure the Hadoop platform can effectively meet performance & SLA requirements
  • Responsible for support of Hadoop Production environment which includes Hive, YARN, Spark, Impala, Kafka, SOLR, Oozie, Sentry, Encryption, Hbase, etc.
  • Perform optimization capacity planning of a large multi-tenant cluster
Qualifications
  • Minimum 3 years of work experience in maintaining, optimization, issue resolution of Hadoop clusters, supporting Business users and Batch
  • Experience in Configuring and setting up Hadoop clusters and provide support for - aggregation, lookup & fact table creation criteria
  • Map Reduce tuning, data node, NN recovery etc.
  • Experience in Linux / Unix OS Services, Administration, Shell, awk scripting
  • Experience in building and scalable Hadoop applications
  • Experience in Core Java, Hadoop (Map Reduce, Hive, Pig, HDFS, H-catalog, Zookeeper and OOzie)
  • Hands-on Experience in SQL (Oracle ) and No SQL Databases (HBASE/Cassandra/Mongo DB)
  • Excellent oral and written communication and presentation skills, analytical and problem solving skills
  • Self-driven, Ability to work independently and as part of a team with proven track record developing and launching products at scale
  • Minimum of four year technical degree required
  • Experience on Cloudera distribution preferred
  • Hands-on Experience as a Linux Sys Admin is a plus
  • Knowledge on Spark and Kafka is a plus.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Job Number: REF15232V
SoftClouds LLC
  • San Diego, CA

Job Overview: SoftClouds is looking for a Data Engineer to join our analytics platform team in designing and developing the next generation data and analytics solutions. The candidate should have deep technical skills as well as the ability to understand data and analytics, and an openness to working with disparate platforms, data sources and data formats.


Roles and Responsibilities:
  • Experience with MySQL, MS SQL Server, or Hadoop, or MongoDB.
  • Writing SQL Queries, tables joins.
  • AWS, python, or bash shell scripting
  • Have some experience pulling data from Hadoop.
  • Analyze data, system and data flows and develop effective ways to store and present data in BI applications
  • ETL experience a plus.
  • Work with data from disparate environments including Hadoop, MongoDB Talend, and other SQL and NoSQL data stores
  • Help develop the next generation analytics platform
  • Proactively ensure data integrity and focus on continuous performance improvements of existing processes.


Required skills and experience:
  • 5  or more years of experience in software development
  • 3 year of experience in writing Data applications using Spark
  • Experience in Java and Python
  • Familiarity  with Agile development methodology `
  • Experience with Scala is a plus
  • Experience with NoSQL databases, e.g., Cassandra is a plus
  • Expertise in Apache Spark & Hadoop.
  • Expertise in machine learning algorithms


Education / Experience:

  • Bachelor's Degree in Engineering or Computer Science or related field required.
  • U.S. Citizens/GC/GC EAD are encouraged to apply. We are unable to sponsor at this time. NO C2C or third-party agencies.



Booz Allen Hamilton - Tagged
  • San Diego, CA
Job Description
Job Number: R0042382
Data Scientist, Mid
The Challenge
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by machine learning, artificial intelligence advances, and IoT? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection, to cancer research, to national intelligence-you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve the DoD and federal agencies. Youll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. Youll develop algorithms, write scripts, build predictive analytics, use automation, and apply machine learning to turn disparate data points into objective answers to help our nations services and leaders make data-driven decisions. Youll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the DoD and federal agencies.
Empower change with us.
Build Your Career
At Booz Allen, we know the power of data science and machine intelligence and were dedicated to helping you grow as a data scientist. When you join Booz Allen, you can expect:
  • access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, Splunk, and other open source and emerging tools
  • a chance to change the world with the Data Science Bowlthe worlds premier data science for social good competition
  • participation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
Youll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. Well help you develop the career you want as you chart your own course for success.
You Have
  • Experience with one or more statistical analytical programming languages, including Python or R
  • Experience with source control and dependency management software, including Git or Maven
  • Experience with using relational databases, including MySQL
  • Experience with identifying analytic insight in data, developing visualizations, and presenting findings to stakeholders
  • Knowledge of object-oriented programming, including Java and C++
  • Knowledge of various machine learning algorithms and their designs, capabilities, and limitations
  • Knowledge of statistical analysis techniques
  • Ability to build complex extraction, transformation, and loading (ETL) pipelines to clean and fuse data together
  • Ability to obtain a security clearance
  • BA or BS degree
Nice If You Have
  • Experience with designing and implementing custom machine learning algorithms
  • Experience with graph algorithms and semantic Web
  • Experience with designing and setting up relational databases
  • Experience with Big Data computing environments, including Hadoop
  • Experience with Navy mission systems
  • MA degree in Mathematics, CS, or a related quantitative field
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Were an EOE that empowers our peopleno matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran statusto fearlessly drive change.
, CJ1, GD13, MPPC, SIG2017
phData, Inc.
  • Minneapolis, MN

Title: Big Data Solutions Architect (Minneapolis or US Remote)


Join the Game-Changers in Big Data  


Are you inspired by innovation, hard work and a passion for data?    


If so, this may be the ideal opportunity to leverage your background in Big Data and Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of clients.  


As a Solution Architect on our Big Data Consulting team, your responsibilities include:


    • Design, develop, and innovative Big Data solutions; partner with our internal Managed Services Architects and Data Engineers to build creative solutions to solve tough big data problems.  
    • Determine the project road map, select the best tools, assign tasks and priorities, and assume general project management oversight for performance, data integration, ecosystem integration, and security of big data solutions
    • Work across a broad range of technologies from infrastructure to applications to ensure the ideal Big Data solution is implemented and optimized
    • Integrate data from a variety of data sources (data warehouse, data marts) utilizing on-prem or cloud-based data structures (AWS); determine new and existing data sources
    • Design and implement streaming, data lake, and analytics big data solutions

    • Create and direct testing strategies including unit, integration, and full end-to-end tests of data pipelines

    • Select the right storage solution for a project - comparing Kudu, HBase, HDFS, and relational databases based on their strengths

    • Utilize ETL processes to build data repositories; integrate data into Hadoop data lake using Sqoop (batch ingest), Kafka (streaming), Spark, Hive or Impala (transformation)

    • Partner with our Managed Services team to design and install on prem or cloud based infrastructure including networking, virtual machines, containers, and software

    • Determine and select best tools to ensure optimized data performance; perform Data Analysis utilizing Spark, Hive, and Impala

    • Mentor and coach Developers and Data Engineers. Provide guidance with project creation, application structure, automation, code style, testing, and code reviews

Qualifications

  • 5+ years previous experience as a Software Engineer, Data Engineer or Data Analytics - combined with an expertise in Hadoop Technologies and Java programming
  • Technical Leadership experience leading/mentoring junior software/data engineers, as well as scoping activities on large scale, complex technology projects
  • Expertise in core Hadoop technologies including HDFS, Hive and YARN.  
  • Deep experience in one or more ecosystem products/languages such as HBase, Spark, Impala, Solr, Kudu, etc
  • Expert programming experience in Java, Scala, or other statically typed programming language
  • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
  • Excellent communication skills including proven experience working with key stakeholders and customers
  • Ability to translate big picture business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access and consumption, as well as custom analytics
  • Customer relationship management including project escalations, and participating in executive steering meetings
  • Ability to learn new technologies in a quickly changing field
phData, Inc.
  • Minneapolis, MN

Title: Big Data Solutions Architect (Minneapolis or US Remote)


Join the Game-Changers in Big Data  


Are you inspired by innovation, hard work and a passion for data?    


If so, this may be the ideal opportunity to leverage your background in Big Data and Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of clients.  


As a Solution Architect on our Big Data Consulting team, your responsibilities include:


    • Design, develop, and innovative Big Data solutions; partner with our internal Managed Services Architects and Data Engineers to build creative solutions to solve tough big data problems.  
    • Determine the project road map, select the best tools, assign tasks and priorities, and assume general project management oversight for performance, data integration, ecosystem integration, and security of big data solutions
    • Work across a broad range of technologies from infrastructure to applications to ensure the ideal Big Data solution is implemented and optimized
    • Integrate data from a variety of data sources (data warehouse, data marts) utilizing on-prem or cloud-based data structures (AWS); determine new and existing data sources
    • Design and implement streaming, data lake, and analytics big data solutions

    • Create and direct testing strategies including unit, integration, and full end-to-end tests of data pipelines

    • Select the right storage solution for a project - comparing Kudu, HBase, HDFS, and relational databases based on their strengths

    • Utilize ETL processes to build data repositories; integrate data into Hadoop data lake using Sqoop (batch ingest), Kafka (streaming), Spark, Hive or Impala (transformation)

    • Partner with our Managed Services team to design and install on prem or cloud based infrastructure including networking, virtual machines, containers, and software

    • Determine and select best tools to ensure optimized data performance; perform Data Analysis utilizing Spark, Hive, and Impala

    • Mentor and coach Developers and Data Engineers. Provide guidance with project creation, application structure, automation, code style, testing, and code reviews

Qualifications

  • 5+ years previous experience as a Software Engineer, Data Engineer or Data Analytics - combined with an expertise in Hadoop Technologies and Java programming
  • Technical Leadership experience leading/mentoring junior software/data engineers, as well as scoping activities on large scale, complex technology projects
  • Expertise in core Hadoop technologies including HDFS, Hive and YARN.  
  • Deep experience in one or more ecosystem products/languages such as HBase, Spark, Impala, Solr, Kudu, etc
  • Expert programming experience in Java, Scala, or other statically typed programming language
  • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
  • Excellent communication skills including proven experience working with key stakeholders and customers
  • Ability to translate big picture business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access and consumption, as well as custom analytics
  • Customer relationship management including project escalations, and participating in executive steering meetings
  • Ability to learn new technologies in a quickly changing field
HelloFresh US
  • New York, NY

HelloFresh is hiring a Data Scientist to join our Supply Chain Analytics Team! In this exciting role, you will develop cutting edge insights using a wealth of data about our suppliers, ingredients, operations, and customers to improve the customer experience, drive operational efficiencies and build new supply chain capabilities. To succeed in this role, you’ll need to have a genuine interest in using data and analytic techniques to solve real business challenges, and a keen interest to make a big impact on a fast-growing organization.


You will...



  • Own the development and deployment of quantitative models to make routine and strategic operational decisions to plan the fulfillment of orders and identify the supply chain capabilities we need to build to continue succeeding in the business

  • Solve complex optimization problems with linear programming techniques

  • Collaborate across operational functions (e.g. supply chain planning, logistics, procurement, production, etc) to identify and prioritize projects

  • Communicate results and recommendations to stakeholders in a business oriented manner with clear guidelines which can be implemented across functions in the supply chain

  • Work with complex datasets across various platforms to perform descriptive, prescriptive, predictive, and exploratory analyses


At a minimum, you have...



  • Advanced degree in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Engineering or a related field

  • 2 - 5 years’ experience delivering analytical solutions to complex business problems

  • Knowledge of linear programming optimization techniques (familiarity with software like CPLEX, AMPL, etc is a plus)

  • Fluency in managing and analyzing large data sets of data with advanced tools, such as R and Python etc.

  • Experience extracting and transforming data from structured databases such as: MySQL, PostgreSQL, etc.


You are...



  • Results-oriented - You love transforming data into meaningful outcomes

  • Gritty - When you encounter obstacles you find solutions, not excuses

  • Intellectually curious – You love to understand why things are the way they are, how things work, and challenge the status quo

  • A team player – You favor team victories over individual success

  • A structured problem solver – You possess strong organizational skills and consistently demonstrate a methodical approach to all your work

  • Agile – You thrive in fast-paced and dynamic environments and are comfortable working autonomously

  • A critical thinker – You use logic to identify opportunities, evaluate alternatives, and synthesize and present critical information to solve complex problems



Our team is diverse, high-performing and international, helping us to create a truly inspiring work environment in which you will thrive!


It is the policy of HelloFresh not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran.

Hulu
  • Santa Monica, CA

WHAT YOU’LL DO



  • Build elegant systems that are robust and scalable

  • Challenge our team and software to be even better

  • Use a mix of technologies including Scala, Ruby, Python, and Angular JS


WHAT TO BRING



  • BS or MS in Computer Science/Engineering

  • 5+ years of relevant software engineering experience

  • Strong programming (Java/C#/C++ or other related programming languages) and scripting skills

  • Great communication, collaboration skills and a strong teamwork ethic

  • Strive for excellence


NICE-TO-HAVES



  • Experience with both statically typed languages and dynamic languages

  • Experience with relational (Oracle, MySQL) and non-relational database technologies (MongoDB, Cassandra, DynamoDB)

Acxiom
  • Austin, TX
As a Hadoop Administrator, you will assist leadership for projects related to Big Data technologies and software development support for client research projects. You will analyze 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 must be 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 must be a self-starter 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.
  • Own 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)
  • Manage 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
  • 3+ years of Big Data Administration experience
  • Extensive knowledge of Hadoop based data manipulation/storage technologies such as HDFS, MapReduce, Yarn, HBASE, HIVE, Pig, Impala and Sentry
  • Experience in capacity planning, cluster designing and deployment, troubleshooting and performance tuning
  • Great operational expertise such as good troubleshooting skills, understanding of system's capacity, bottlenecks, basics of memory, CPU, OS, storage, and networks
  • Experience in Hadoop cluster migrations or upgrades
  • Strong Linux/SAN administration skills and RDBMS/ETL knowledge
  • Good Experience in Cloudera/Horton Works/MapR versions along with Monitoring/Alerting tools (Nagios, Ganglia, Zenoss , Cloudera Manager)
  • Scripting skills in Perl, Python, Shell Scripting, and/or Ruby on Rails
  • Knowledge of JAVA/J2EE and other web technologies
  • Understanding of On-premise and Cloud network architectures
  • DevOps experience is a great plus (CHEF, Puppet and Ansible)
  • Excellent verbal and written communication skills


 

Experian
  • Austin, TX

Experian Consumer Services – Careers That Define “What’s the Next Big (Data) Thing” for Consumers?

What could be more exciting – personally and professionally – than being part of a “disruptive” business? Consider taking your career to the next level by joining the Leader that continues to disrupt the competition. As the “disruptor” and market leader we pride ourselves on building new markets, leading the pack through continuous evolution and innovation. It’s a position Experian Consumer Services has enjoyed for more than a decade and we’re always looking for the talent that can help expand that lead.

When you’re the leader, it’s always urgent, important and market-changing. We think that defines the true “disruptive” business. Join us and create some chaos for the competition.

Key Responsibilities:



  • Drive enterprise-wide technology integration strategy-setting and implementation based on leading-edge industry standards, best practices and comprehensive understanding of business operations.

  • Responsible for design and implementation of integration strategy, architecture and platforms

  • Accountable for adhering to enterprise architecture standards, ensuring integration technology standards and best practices are maintained across the organization and leading enterprise architecture strategy-setting

  • Leads governance processes of new technologies and solutions to ensure consistent technology life cycle management

  • Lead integration efforts across all business areas and client groups including key data and infrastructure components across the enterprise.


Knowledge, Skills, & Experience



  • 7+ years of experience in MySQL

  • Deep knowledge in MySQL databases – physical / logical database design, security model, HA/DR, performance optimization, DBA and application design/development

  • Ability to create clear, detailed, concise documentation — architecture diagrams, presentations, and design documents

  • Ability to identify issues with existing schemas, suggest improvements

  • 2+ years of hands-on experience with Apache Hadoop, Spark and Python.

  • Excellent understanding of Entity Relationship Diagrams (ERDs)

  • Experience working in cloud computing and distributed data environments is PLUS

  • Strong data modeling and design skills.

  • Experience with data migration and ETL tools.

  • Strong experience in translating business requirements to data solutions.

  • Experience in large data environments with highly performant, highly scalable solutions.

  • Experience with Unix/Linux operating environments as well as shell scripts.

  • Strong SQL and PL/SQL development skills.

  • Strong in diagnosing various queries and Improving/suggesting improvements to SQL queries for efficiency, latency etc.

  • Ability to work in a team with highly motivated people.

  • Data analysis, modeling, and integration.

  • Database management, design, and development.

  • Strong debugging and technical troubleshooting skills.

  • Ability to prioritize and work on multiple projects concurrently.

  • A proactive approach to problem solving and decision-making.

  • Strong attention to detail.

  • Excellent written and oral communication skills.

  • Collaborate effectively with the database and other technology teams.

  • Knowledge of release management and version control practices and procedures.

Perficient, Inc.
  • Dallas, TX
At Perficient youll deliver mission-critical technology and business solutions to Fortune 500 companies and some of the most recognized brands on the planet. And youll do it with cutting-edge technologies, thanks to our close partnerships with the worlds biggest vendors. Our network of offices across North America, as well as locations in India and China, will give you the opportunity to spread your wings, too.
Were proud to be publicly recognized as a Top Workplace year after year. This is due, in no small part, to our entrepreneurial attitude and collaborative spirit that sets us apart and keeps our colleagues impassioned, driven, and fulfilled.
Perficient currently has a career opportunity for a Big Data Engineer(Microservices Developer),
Job Overview
One of our large clients has made strategic decision to move all order management and sales data from their existing EDW into MapR platform. The focus is fast ingestion and streaming analytics. This is a multiyear roadmap with many components that will piece into a larger Data Management Platform. Perficient subject matter expert will work with the client team to move this data into new environment in a fashion that will meet requirements for applications and analytics. As a lead developer, you will be responsible for Microservices development.
Responsibilities
  • Ability to focus on framework for Dev Ops, Ingestion, and Reading/writing into HDFSWorked with different data formats (Parquet, Avro, JSON, XML, etc.)
  • Worked on containerized solutions (Kubernetes..)
  • Provide end to end vision and hands on experience with MapR Platform especially best practices around HIVE and HBASE
  • Should be a Rockstar in HBase and Hive Best Practices
  • Ability to focus on framework for Dev Ops, Ingestion, and Reading/writing into HDFS
  • Worked with different data formats (Parquet, Avro, JSON, XML, etc.)
  • Worked on containerized solutions (Spring Boot and Docker)
  • Translate, load and present disparate data-sets in multiple formats and from multiple sources including JSON, Avro, text files, Kafka queues, and log data.
  • Lead workshops with many teams to define data ingestion, validation, transformation, data engineering, and Data MOdeling
  • Performance tune HIVE and HBASE jobs with a focus on ingestion
  • Design and develop open source platform components using Spark, Sqoop, Java, Oozie, Kafka, Python, and other components
  • Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects, architect and deliver complex projects
  • Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
  • Contribute to the thought capital through the creation of executive presentations, architecture documents and articulate them to executives through presentations
Qualifications
    • Spring, Docker, Hibernate /Spring , JPA, Pivotal, Kafka, NoSQL,
      Hadoop Containers Docker, work, Spring boot .
    • At least 3+ years of experience on working with large projects including the most recent project in the MapR platform
    • At least 5+ years of Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms
    • Should have experience designing service management, orchestration, monitoring and management requirements of cloud platform.
    • Hands-on experience with Hadoop, Teradata (or other MPP RDBMS), MapReduce, Hive, Sqoop, Splunk, STORM, SPARK, Kafka and HBASE (At least 2 years)
    • Experience with end-to-end solution architecture for data capabilities including:
    • Experience with ELT/ETL development, patterns and tooling (Informatica, Talend)
    • Ability to produce high quality work products under pressure and within deadlines with specific references
    • VERY strong communication, solutioning, and client facing skills especially non-technical business users
    • At least 5+ years of working with large multi-vendor environment with multiple teams and people as a part of the project
    • At least 5+ years of working with a complex Big Data environment
    • 5+ years of experience with Team Foundation Server/JIRA/GitHub and other code management toolsets
  • Preferred Skills And Education
    Masters degree in Computer Science or related field
    Certification in Azure platform
    Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
    More About Perficient
    Perficient is the leading digital transformation consulting firm serving Global 2000 and enterprise customers throughout North America. With unparalleled information technology, management consulting and creative capabilities, Perficient and its Perficient Digital agency deliver vision, execution and value with outstanding digital experience, business optimization and industry solutions.
    Our work enables clients to improve productivity and competitiveness; grow and strengthen relationships with customers, suppliers and partners; and reduce costs. Perficient's professionals serve clients from a network of offices across North America and offshore locations in India and China. Traded on the Nasdaq Global Select Market, Perficient is a member of the Russell 2000 index and the S&P SmallCap 600 index.
    Perficient is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national, origin, disability status, protected veteran status, or any other characteristic protected by law.
    Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
    Select work authorization questions to ask when applicants apply
    • Are you legally authorized to work in the United States?
    • Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?
    Perficient, Inc.
    • Houston, TX
    At Perficient youll deliver mission-critical technology and business solutions to Fortune 500 companies and some of the most recognized brands on the planet. And youll do it with cutting-edge technologies, thanks to our close partnerships with the worlds biggest vendors. Our network of offices across North America, as well as locations in India and China, will give you the opportunity to spread your wings, too.
    Were proud to be publicly recognized as a Top Workplace year after year. This is due, in no small part, to our entrepreneurial attitude and collaborative spirit that sets us apart and keeps our colleagues impassioned, driven, and fulfilled.
    Perficient currently has a career opportunity for a MapR Spark Developer
    Job Overview
    One of our large clients has made strategic decision to move all order management and sales data from their existing EDW into MapR platform. The focus is fast ingestion and streaming analytics. This is a multiyear roadmap with many components that will piece into a larger Data Management Platform. Perficient subject matter expert will work with the client team to move this data into new environment in a fashion that will meet requirements for applications and analytics.
    As a Data developer, you will be incharge of developing data pipelines using Spark and other ingestion framework.
    Responsibilities
      Prov
      • ide end to end vision and hands on experience with MapR Platform especially best practices around HIVE and HBASE Shoul
      • d be a Rockstar in HBase and Hive Best PracticesAbili
      • ty to focus on ingestion and transformationUnder
      • stand MDM and think about MDM in HDFSAbili
      • ty to design solutions for different use cases
      • Worked with different data formats (Parquet, Avro, JSON, XML, etc.)
      • Troubleshoot and develop on Hadoop technologies including HDFS, Kafka, Hive, Pig, Flume, HBase, Spark, Impala and Hadoop ETL development via tools such as ODI for Big Data and APIs to extract data from source.
      • Translate, load and present disparate data-sets in multiple formats and from multiple sources including JSON, Avro, text files, Kafka queues, and log data.
      • Lead workshops with many teams to define data ingestion, validation, transformation, data engineering, and Data MOdeling
      • Performance tune HIVE and HBASE jobs with a focus on ingestion
      • Design and develop open source platform components using Spark, Sqoop, Java, Oozie, Kafka, Python, and other components
      • Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects, architect and deliver complex projects
      • Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
      • Contribute to the thought capital through the creation of executive presentations, architecture documents and articulate them to executives through presentations
    Qualifications
    • At least 3+ years of experience on working with large projects including the most recent project in the MapR platform
    • At least 5+ years of Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms
    • Should have experience designing service management, orchestration, monitoring and management requirements of cloud platform.
    • Hands-on experience with Hadoop, Teradata (or other MPP RDBMS), MapReduce, Hive, Sqoop, Splunk, STORM, SPARK, Kafka and HBASE (At least 2 years)
    • Experience with end-to-end solution architecture for data capabilities including:
    • Experience with ELT/ETL development, patterns and tooling (Informatica, Talend)
    • Ability to produce high quality work products under pressure and within deadlines with specific references
    • VERY strong communication, solutioning, and client facing skills especially non-technical business users
    • At least 5+ years of working with large multi-vendor environment with multiple teams and people as a part of the project
    • At least 5+ years of working with a complex Big Data environment
    • 5+ years of experience with Team Foundation Server/JIRA/GitHub and other code management toolset
  • Preferred Skills And Education
    Masters degree in Computer Science or related field
    Certification in Azure platform
    Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
    More About Perficient
    Perficient is the leading digital transformation consulting firm serving Global 2000 and enterprise customers throughout North America. With unparalleled information technology, management consulting and creative capabilities, Perficient and its Perficient Digital agency deliver vision, execution and value with outstanding digital experience, business optimization and industry solutions.
    Our work enables clients to improve productivity and competitiveness; grow and strengthen relationships with customers, suppliers and partners; and reduce costs. Perficient's professionals serve clients from a network of offices across North America and offshore locations in India and China. Traded on the Nasdaq Global Select Market, Perficient is a member of the Russell 2000 index and the S&P SmallCap 600 index.
    Perficient is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national, origin, disability status, protected veteran status, or any other characteristic protected by law.
    Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
    Select work authorization questions to ask when applicants apply
    • Are you legally authorized to work in the United States?
    • Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?
    Perficient, Inc.
    • Salt Lake City, UT
    At Perficient youll deliver mission-critical technology and business solutions to Fortune 500 companies and some of the most recognized brands on the planet. And youll do it with cutting-edge technologies, thanks to our close partnerships with the worlds biggest vendors. Our network of offices across North America, as well as locations in India and China, will give you the opportunity to spread your wings, too.
    Were proud to be publicly recognized as a Top Workplace year after year. This is due, in no small part, to our entrepreneurial attitude and collaborative spirit that sets us apart and keeps our colleagues impassioned, driven, and fulfilled.
    Perficient currently has a career opportunity for a Big Data Engineer(Microservices Developer),
    Job Overview
    One of our large clients has made strategic decision to move all order management and sales data from their existing EDW into MapR platform. The focus is fast ingestion and streaming analytics. This is a multiyear roadmap with many components that will piece into a larger Data Management Platform. Perficient subject matter expert will work with the client team to move this data into new environment in a fashion that will meet requirements for applications and analytics. As a lead developer, you will be responsible for Microservices development.
    Responsibilities
    • Ability to focus on framework for Dev Ops, Ingestion, and Reading/writing into HDFSWorked with different data formats (Parquet, Avro, JSON, XML, etc.)
    • Worked on containerized solutions (Kubernetes..)
    • Provide end to end vision and hands on experience with MapR Platform especially best practices around HIVE and HBASE
    • Should be a Rockstar in HBase and Hive Best Practices
    • Ability to focus on framework for Dev Ops, Ingestion, and Reading/writing into HDFS
    • Worked with different data formats (Parquet, Avro, JSON, XML, etc.)
    • Worked on containerized solutions (Spring Boot and Docker)
    • Translate, load and present disparate data-sets in multiple formats and from multiple sources including JSON, Avro, text files, Kafka queues, and log data.
    • Lead workshops with many teams to define data ingestion, validation, transformation, data engineering, and Data MOdeling
    • Performance tune HIVE and HBASE jobs with a focus on ingestion
    • Design and develop open source platform components using Spark, Sqoop, Java, Oozie, Kafka, Python, and other components
    • Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects, architect and deliver complex projects
    • Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
    • Contribute to the thought capital through the creation of executive presentations, architecture documents and articulate them to executives through presentations
    Qualifications
    • Spring, Docker, Hibernate /Spring , JPA, Pivotal, Kafka, NoSQL,
      Hadoop Containers Docker, work, Spring boot .
    • At least 3+ years of experience on working with large projects including the most recent project in the MapR platform
    • At least 5+ years of Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms
    • Should have experience designing service management, orchestration, monitoring and management requirements of cloud platform.
    • Hands-on experience with Hadoop, Teradata (or other MPP RDBMS), MapReduce, Hive, Sqoop, Splunk, STORM, SPARK, Kafka and HBASE (At least 2 years)
    • Experience with end-to-end solution architecture for data capabilities including:
    • Experience with ELT/ETL development, patterns and tooling (Informatica, Talend)
    • Ability to produce high quality work products under pressure and within deadlines with specific references
    • VERY strong communication, solutioning, and client facing skills especially non-technical business users
    • At least 5+ years of working with large multi-vendor environment with multiple teams and people as a part of the project
    • At least 5+ years of working with a complex Big Data environment
    • 5+ years of experience with Team Foundation Server/JIRA/GitHub and other code management toolsets
  • Preferred Skills And Education
    Masters degree in Computer Science or related field
    Certification in Azure platform
    Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
    More About Perficient
    Perficient is the leading digital transformation consulting firm serving Global 2000 and enterprise customers throughout North America. With unparalleled information technology, management consulting and creative capabilities, Perficient and its Perficient Digital agency deliver vision, execution and value with outstanding digital experience, business optimization and industry solutions.
    Our work enables clients to improve productivity and competitiveness; grow and strengthen relationships with customers, suppliers and partners; and reduce costs. Perficient's professionals serve clients from a network of offices across North America and offshore locations in India and China. Traded on the Nasdaq Global Select Market, Perficient is a member of the Russell 2000 index and the S&P SmallCap 600 index.
    Perficient is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national, origin, disability status, protected veteran status, or any other characteristic protected by law.
    Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
    Select work authorization questions to ask when applicants apply
    • Are you legally authorized to work in the United States?
    • Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?
    Perficient, Inc.
    • Philadelphia, PA
    At Perficient youll deliver mission-critical technology and business solutions to Fortune 500 companies and some of the most recognized brands on the planet. And youll do it with cutting-edge technologies, thanks to our close partnerships with the worlds biggest vendors. Our network of offices across North America, as well as locations in India and China, will give you the opportunity to spread your wings, too.
    Were proud to be publicly recognized as a Top Workplace year after year. This is due, in no small part, to our entrepreneurial attitude and collaborative spirit that sets us apart and keeps our colleagues impassioned, driven, and fulfilled.
    Perficient currently has a career opportunity for a Big Data Engineer(Microservices Developer),
    Job Overview
    One of our large clients has made strategic decision to move all order management and sales data from their existing EDW into MapR platform. The focus is fast ingestion and streaming analytics. This is a multiyear roadmap with many components that will piece into a larger Data Management Platform. Perficient subject matter expert will work with the client team to move this data into new environment in a fashion that will meet requirements for applications and analytics. As a lead developer, you will be responsible for Microservices development.
    Responsibilities
    • Ability to focus on framework for Dev Ops, Ingestion, and Reading/writing into HDFSWorked with different data formats (Parquet, Avro, JSON, XML, etc.)
    • Worked on containerized solutions (Kubernetes..)
    • Provide end to end vision and hands on experience with MapR Platform especially best practices around HIVE and HBASE
    • Should be a Rockstar in HBase and Hive Best Practices
    • Ability to focus on framework for Dev Ops, Ingestion, and Reading/writing into HDFS
    • Worked with different data formats (Parquet, Avro, JSON, XML, etc.)
    • Worked on containerized solutions (Spring Boot and Docker)
    • Translate, load and present disparate data-sets in multiple formats and from multiple sources including JSON, Avro, text files, Kafka queues, and log data.
    • Lead workshops with many teams to define data ingestion, validation, transformation, data engineering, and Data MOdeling
    • Performance tune HIVE and HBASE jobs with a focus on ingestion
    • Design and develop open source platform components using Spark, Sqoop, Java, Oozie, Kafka, Python, and other components
    • Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects, architect and deliver complex projects
    • Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
    • Contribute to the thought capital through the creation of executive presentations, architecture documents and articulate them to executives through presentations
    Qualifications
    • Spring, Docker, Hibernate /Spring , JPA, Pivotal, Kafka, NoSQL,
      Hadoop Containers Docker, work, Spring boot .
    • At least 3+ years of experience on working with large projects including the most recent project in the MapR platform
    • At least 5+ years of Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms
    • Should have experience designing service management, orchestration, monitoring and management requirements of cloud platform.
    • Hands-on experience with Hadoop, Teradata (or other MPP RDBMS), MapReduce, Hive, Sqoop, Splunk, STORM, SPARK, Kafka and HBASE (At least 2 years)
    • Experience with end-to-end solution architecture for data capabilities including:
    • Experience with ELT/ETL development, patterns and tooling (Informatica, Talend)
    • Ability to produce high quality work products under pressure and within deadlines with specific references
    • VERY strong communication, solutioning, and client facing skills especially non-technical business users
    • At least 5+ years of working with large multi-vendor environment with multiple teams and people as a part of the project
    • At least 5+ years of working with a complex Big Data environment
    • 5+ years of experience with Team Foundation Server/JIRA/GitHub and other code management toolsets
  • Preferred Skills And Education
    Masters degree in Computer Science or related field
    Certification in Azure platform
    Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
    More About Perficient
    Perficient is the leading digital transformation consulting firm serving Global 2000 and enterprise customers throughout North America. With unparalleled information technology, management consulting and creative capabilities, Perficient and its Perficient Digital agency deliver vision, execution and value with outstanding digital experience, business optimization and industry solutions.
    Our work enables clients to improve productivity and competitiveness; grow and strengthen relationships with customers, suppliers and partners; and reduce costs. Perficient's professionals serve clients from a network of offices across North America and offshore locations in India and China. Traded on the Nasdaq Global Select Market, Perficient is a member of the Russell 2000 index and the S&P SmallCap 600 index.
    Perficient is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national, origin, disability status, protected veteran status, or any other characteristic protected by law.
    Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
    Select work authorization questions to ask when applicants apply
    • Are you legally authorized to work in the United States?
    • Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?
    Perficient, Inc.
    • Atlanta, GA
    At Perficient youll deliver mission-critical technology and business solutions to Fortune 500 companies and some of the most recognized brands on the planet. And youll do it with cutting-edge technologies, thanks to our close partnerships with the worlds biggest vendors. Our network of offices across North America, as well as locations in India and China, will give you the opportunity to spread your wings, too.
    Were proud to be publicly recognized as a Top Workplace year after year. This is due, in no small part, to our entrepreneurial attitude and collaborative spirit that sets us apart and keeps our colleagues impassioned, driven, and fulfilled.
    Perficient currently has a career opportunity for a MapR Spark Developer
    Job Overview
    One of our large clients has made strategic decision to move all order management and sales data from their existing EDW into MapR platform. The focus is fast ingestion and streaming analytics. This is a multiyear roadmap with many components that will piece into a larger Data Management Platform. Perficient subject matter expert will work with the client team to move this data into new environment in a fashion that will meet requirements for applications and analytics.
    As a Data developer, you will be incharge of developing data pipelines using Spark and other ingestion framework.
    Responsibilities
      Prov
      • ide end to end vision and hands on experience with MapR Platform especially best practices around HIVE and HBASE Shoul
      • d be a Rockstar in HBase and Hive Best PracticesAbili
      • ty to focus on ingestion and transformationUnder
      • stand MDM and think about MDM in HDFSAbili
      • ty to design solutions for different use cases
      • Worked with different data formats (Parquet, Avro, JSON, XML, etc.)
      • Troubleshoot and develop on Hadoop technologies including HDFS, Kafka, Hive, Pig, Flume, HBase, Spark, Impala and Hadoop ETL development via tools such as ODI for Big Data and APIs to extract data from source.
      • Translate, load and present disparate data-sets in multiple formats and from multiple sources including JSON, Avro, text files, Kafka queues, and log data.
      • Lead workshops with many teams to define data ingestion, validation, transformation, data engineering, and Data MOdeling
      • Performance tune HIVE and HBASE jobs with a focus on ingestion
      • Design and develop open source platform components using Spark, Sqoop, Java, Oozie, Kafka, Python, and other components
      • Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects, architect and deliver complex projects
      • Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
      • Contribute to the thought capital through the creation of executive presentations, architecture documents and articulate them to executives through presentations
    Qualifications
    • At least 3+ years of experience on working with large projects including the most recent project in the MapR platform
    • At least 5+ years of Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms
    • Should have experience designing service management, orchestration, monitoring and management requirements of cloud platform.
    • Hands-on experience with Hadoop, Teradata (or other MPP RDBMS), MapReduce, Hive, Sqoop, Splunk, STORM, SPARK, Kafka and HBASE (At least 2 years)
    • Experience with end-to-end solution architecture for data capabilities including:
    • Experience with ELT/ETL development, patterns and tooling (Informatica, Talend)
    • Ability to produce high quality work products under pressure and within deadlines with specific references
    • VERY strong communication, solutioning, and client facing skills especially non-technical business users
    • At least 5+ years of working with large multi-vendor environment with multiple teams and people as a part of the project
    • At least 5+ years of working with a complex Big Data environment
    • 5+ years of experience with Team Foundation Server/JIRA/GitHub and other code management toolset
  • Preferred Skills And Education
    Masters degree in Computer Science or related field
    Certification in Azure platform
    Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
    More About Perficient
    Perficient is the leading digital transformation consulting firm serving Global 2000 and enterprise customers throughout North America. With unparalleled information technology, management consulting and creative capabilities, Perficient and its Perficient Digital agency deliver vision, execution and value with outstanding digital experience, business optimization and industry solutions.
    Our work enables clients to improve productivity and competitiveness; grow and strengthen relationships with customers, suppliers and partners; and reduce costs. Perficient's professionals serve clients from a network of offices across North America and offshore locations in India and China. Traded on the Nasdaq Global Select Market, Perficient is a member of the Russell 2000 index and the S&P SmallCap 600 index.
    Perficient is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national, origin, disability status, protected veteran status, or any other characteristic protected by law.
    Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
    Select work authorization questions to ask when applicants apply
    • Are you legally authorized to work in the United States?
    • Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?
    Perficient, Inc.
    • Ann Arbor, MI
    At Perficient youll deliver mission-critical technology and business solutions to Fortune 500 companies and some of the most recognized brands on the planet. And youll do it with cutting-edge technologies, thanks to our close partnerships with the worlds biggest vendors. Our network of offices across North America, as well as locations in India and China, will give you the opportunity to spread your wings, too.
    Were proud to be publicly recognized as a Top Workplace year after year. This is due, in no small part, to our entrepreneurial attitude and collaborative spirit that sets us apart and keeps our colleagues impassioned, driven, and fulfilled.
    Perficient currently has a career opportunity for a MapR Spark Developer
    Job Overview
    One of our large clients has made strategic decision to move all order management and sales data from their existing EDW into MapR platform. The focus is fast ingestion and streaming analytics. This is a multiyear roadmap with many components that will piece into a larger Data Management Platform. Perficient subject matter expert will work with the client team to move this data into new environment in a fashion that will meet requirements for applications and analytics.
    As a Data developer, you will be incharge of developing data pipelines using Spark and other ingestion framework.
    Responsibilities
      Prov
      • ide end to end vision and hands on experience with MapR Platform especially best practices around HIVE and HBASE Shoul
      • d be a Rockstar in HBase and Hive Best PracticesAbili
      • ty to focus on ingestion and transformationUnder
      • stand MDM and think about MDM in HDFSAbili
      • ty to design solutions for different use cases
      • Worked with different data formats (Parquet, Avro, JSON, XML, etc.)
      • Troubleshoot and develop on Hadoop technologies including HDFS, Kafka, Hive, Pig, Flume, HBase, Spark, Impala and Hadoop ETL development via tools such as ODI for Big Data and APIs to extract data from source.
      • Translate, load and present disparate data-sets in multiple formats and from multiple sources including JSON, Avro, text files, Kafka queues, and log data.
      • Lead workshops with many teams to define data ingestion, validation, transformation, data engineering, and Data MOdeling
      • Performance tune HIVE and HBASE jobs with a focus on ingestion
      • Design and develop open source platform components using Spark, Sqoop, Java, Oozie, Kafka, Python, and other components
      • Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects, architect and deliver complex projects
      • Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
      • Contribute to the thought capital through the creation of executive presentations, architecture documents and articulate them to executives through presentations
    Qualifications
    • At least 3+ years of experience on working with large projects including the most recent project in the MapR platform
    • At least 5+ years of Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms
    • Should have experience designing service management, orchestration, monitoring and management requirements of cloud platform.
    • Hands-on experience with Hadoop, Teradata (or other MPP RDBMS), MapReduce, Hive, Sqoop, Splunk, STORM, SPARK, Kafka and HBASE (At least 2 years)
    • Experience with end-to-end solution architecture for data capabilities including:
    • Experience with ELT/ETL development, patterns and tooling (Informatica, Talend)
    • Ability to produce high quality work products under pressure and within deadlines with specific references
    • VERY strong communication, solutioning, and client facing skills especially non-technical business users
    • At least 5+ years of working with large multi-vendor environment with multiple teams and people as a part of the project
    • At least 5+ years of working with a complex Big Data environment
    • 5+ years of experience with Team Foundation Server/JIRA/GitHub and other code management toolset
  • Preferred Skills And Education
    Masters degree in Computer Science or related field
    Certification in Azure platform
    Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
    More About Perficient
    Perficient is the leading digital transformation consulting firm serving Global 2000 and enterprise customers throughout North America. With unparalleled information technology, management consulting and creative capabilities, Perficient and its Perficient Digital agency deliver vision, execution and value with outstanding digital experience, business optimization and industry solutions.
    Our work enables clients to improve productivity and competitiveness; grow and strengthen relationships with customers, suppliers and partners; and reduce costs. Perficient's professionals serve clients from a network of offices across North America and offshore locations in India and China. Traded on the Nasdaq Global Select Market, Perficient is a member of the Russell 2000 index and the S&P SmallCap 600 index.
    Perficient is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national, origin, disability status, protected veteran status, or any other characteristic protected by law.
    Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
    Select work authorization questions to ask when applicants apply
    • Are you legally authorized to work in the United States?
    • Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?
    Perficient, Inc.
    • Minneapolis, MN
    At Perficient youll deliver mission-critical technology and business solutions to Fortune 500 companies and some of the most recognized brands on the planet. And youll do it with cutting-edge technologies, thanks to our close partnerships with the worlds biggest vendors. Our network of offices across North America, as well as locations in India and China, will give you the opportunity to spread your wings, too.
    Were proud to be publicly recognized as a Top Workplace year after year. This is due, in no small part, to our entrepreneurial attitude and collaborative spirit that sets us apart and keeps our colleagues impassioned, driven, and fulfilled.
    Perficient currently has a career opportunity for a Big Data Engineer(Microservices Developer),
    Job Overview
    One of our large clients has made strategic decision to move all order management and sales data from their existing EDW into MapR platform. The focus is fast ingestion and streaming analytics. This is a multiyear roadmap with many components that will piece into a larger Data Management Platform. Perficient subject matter expert will work with the client team to move this data into new environment in a fashion that will meet requirements for applications and analytics. As a lead developer, you will be responsible for Microservices development.
    Responsibilities
    • Ability to focus on framework for Dev Ops, Ingestion, and Reading/writing into HDFSWorked with different data formats (Parquet, Avro, JSON, XML, etc.)
    • Worked on containerized solutions (Kubernetes..)
    • Provide end to end vision and hands on experience with MapR Platform especially best practices around HIVE and HBASE
    • Should be a Rockstar in HBase and Hive Best Practices
    • Ability to focus on framework for Dev Ops, Ingestion, and Reading/writing into HDFS
    • Worked with different data formats (Parquet, Avro, JSON, XML, etc.)
    • Worked on containerized solutions (Spring Boot and Docker)
    • Translate, load and present disparate data-sets in multiple formats and from multiple sources including JSON, Avro, text files, Kafka queues, and log data.
    • Lead workshops with many teams to define data ingestion, validation, transformation, data engineering, and Data MOdeling
    • Performance tune HIVE and HBASE jobs with a focus on ingestion
    • Design and develop open source platform components using Spark, Sqoop, Java, Oozie, Kafka, Python, and other components
    • Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects, architect and deliver complex projects
    • Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
    • Contribute to the thought capital through the creation of executive presentations, architecture documents and articulate them to executives through presentations
    Qualifications
    • Spring, Docker, Hibernate /Spring , JPA, Pivotal, Kafka, NoSQL,
      Hadoop Containers Docker, work, Spring boot .
    • At least 3+ years of experience on working with large projects including the most recent project in the MapR platform
    • At least 5+ years of Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms
    • Should have experience designing service management, orchestration, monitoring and management requirements of cloud platform.
    • Hands-on experience with Hadoop, Teradata (or other MPP RDBMS), MapReduce, Hive, Sqoop, Splunk, STORM, SPARK, Kafka and HBASE (At least 2 years)
    • Experience with end-to-end solution architecture for data capabilities including:
    • Experience with ELT/ETL development, patterns and tooling (Informatica, Talend)
    • Ability to produce high quality work products under pressure and within deadlines with specific references
    • VERY strong communication, solutioning, and client facing skills especially non-technical business users
    • At least 5+ years of working with large multi-vendor environment with multiple teams and people as a part of the project
    • At least 5+ years of working with a complex Big Data environment
    • 5+ years of experience with Team Foundation Server/JIRA/GitHub and other code management toolsets
  • Preferred Skills And Education
    Masters degree in Computer Science or related field
    Certification in Azure platform
    Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
    More About Perficient
    Perficient is the leading digital transformation consulting firm serving Global 2000 and enterprise customers throughout North America. With unparalleled information technology, management consulting and creative capabilities, Perficient and its Perficient Digital agency deliver vision, execution and value with outstanding digital experience, business optimization and industry solutions.
    Our work enables clients to improve productivity and competitiveness; grow and strengthen relationships with customers, suppliers and partners; and reduce costs. Perficient's professionals serve clients from a network of offices across North America and offshore locations in India and China. Traded on the Nasdaq Global Select Market, Perficient is a member of the Russell 2000 index and the S&P SmallCap 600 index.
    Perficient is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national, origin, disability status, protected veteran status, or any other characteristic protected by law.
    Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
    Select work authorization questions to ask when applicants apply
    • Are you legally authorized to work in the United States?
    • Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?
    Perficient, Inc.
    • San Diego, CA
    At Perficient youll deliver mission-critical technology and business solutions to Fortune 500 companies and some of the most recognized brands on the planet. And youll do it with cutting-edge technologies, thanks to our close partnerships with the worlds biggest vendors. Our network of offices across North America, as well as locations in India and China, will give you the opportunity to spread your wings, too.
    Were proud to be publicly recognized as a Top Workplace year after year. This is due, in no small part, to our entrepreneurial attitude and collaborative spirit that sets us apart and keeps our colleagues impassioned, driven, and fulfilled.
    Perficient currently has a career opportunity for a MapR Spark Developer
    Job Overview
    One of our large clients has made strategic decision to move all order management and sales data from their existing EDW into MapR platform. The focus is fast ingestion and streaming analytics. This is a multiyear roadmap with many components that will piece into a larger Data Management Platform. Perficient subject matter expert will work with the client team to move this data into new environment in a fashion that will meet requirements for applications and analytics.
    As a Data developer, you will be incharge of developing data pipelines using Spark and other ingestion framework.
    Responsibilities
      Prov
      • ide end to end vision and hands on experience with MapR Platform especially best practices around HIVE and HBASE Shoul
      • d be a Rockstar in HBase and Hive Best PracticesAbili
      • ty to focus on ingestion and transformationUnder
      • stand MDM and think about MDM in HDFSAbili
      • ty to design solutions for different use cases
      • Worked with different data formats (Parquet, Avro, JSON, XML, etc.)
      • Troubleshoot and develop on Hadoop technologies including HDFS, Kafka, Hive, Pig, Flume, HBase, Spark, Impala and Hadoop ETL development via tools such as ODI for Big Data and APIs to extract data from source.
      • Translate, load and present disparate data-sets in multiple formats and from multiple sources including JSON, Avro, text files, Kafka queues, and log data.
      • Lead workshops with many teams to define data ingestion, validation, transformation, data engineering, and Data MOdeling
      • Performance tune HIVE and HBASE jobs with a focus on ingestion
      • Design and develop open source platform components using Spark, Sqoop, Java, Oozie, Kafka, Python, and other components
      • Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects, architect and deliver complex projects
      • Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
      • Contribute to the thought capital through the creation of executive presentations, architecture documents and articulate them to executives through presentations
    Qualifications
    • At least 3+ years of experience on working with large projects including the most recent project in the MapR platform
    • At least 5+ years of Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms
    • Should have experience designing service management, orchestration, monitoring and management requirements of cloud platform.
    • Hands-on experience with Hadoop, Teradata (or other MPP RDBMS), MapReduce, Hive, Sqoop, Splunk, STORM, SPARK, Kafka and HBASE (At least 2 years)
    • Experience with end-to-end solution architecture for data capabilities including:
    • Experience with ELT/ETL development, patterns and tooling (Informatica, Talend)
    • Ability to produce high quality work products under pressure and within deadlines with specific references
    • VERY strong communication, solutioning, and client facing skills especially non-technical business users
    • At least 5+ years of working with large multi-vendor environment with multiple teams and people as a part of the project
    • At least 5+ years of working with a complex Big Data environment
    • 5+ years of experience with Team Foundation Server/JIRA/GitHub and other code management toolset
  • Preferred Skills And Education
    Masters degree in Computer Science or related field
    Certification in Azure platform
    Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
    More About Perficient
    Perficient is the leading digital transformation consulting firm serving Global 2000 and enterprise customers throughout North America. With unparalleled information technology, management consulting and creative capabilities, Perficient and its Perficient Digital agency deliver vision, execution and value with outstanding digital experience, business optimization and industry solutions.
    Our work enables clients to improve productivity and competitiveness; grow and strengthen relationships with customers, suppliers and partners; and reduce costs. Perficient's professionals serve clients from a network of offices across North America and offshore locations in India and China. Traded on the Nasdaq Global Select Market, Perficient is a member of the Russell 2000 index and the S&P SmallCap 600 index.
    Perficient is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national, origin, disability status, protected veteran status, or any other characteristic protected by law.
    Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
    Select work authorization questions to ask when applicants apply
    • Are you legally authorized to work in the United States?
    • Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?
    Perficient, Inc.
    • San Diego, CA
    At Perficient youll deliver mission-critical technology and business solutions to Fortune 500 companies and some of the most recognized brands on the planet. And youll do it with cutting-edge technologies, thanks to our close partnerships with the worlds biggest vendors. Our network of offices across North America, as well as locations in India and China, will give you the opportunity to spread your wings, too.
    Were proud to be publicly recognized as a Top Workplace year after year. This is due, in no small part, to our entrepreneurial attitude and collaborative spirit that sets us apart and keeps our colleagues impassioned, driven, and fulfilled.
    Perficient currently has a career opportunity for a Big Data Engineer(Microservices Developer),
    Job Overview
    One of our large clients has made strategic decision to move all order management and sales data from their existing EDW into MapR platform. The focus is fast ingestion and streaming analytics. This is a multiyear roadmap with many components that will piece into a larger Data Management Platform. Perficient subject matter expert will work with the client team to move this data into new environment in a fashion that will meet requirements for applications and analytics. As a lead developer, you will be responsible for Microservices development.
    Responsibilities
    • Ability to focus on framework for Dev Ops, Ingestion, and Reading/writing into HDFSWorked with different data formats (Parquet, Avro, JSON, XML, etc.)
    • Worked on containerized solutions (Kubernetes..)
    • Provide end to end vision and hands on experience with MapR Platform especially best practices around HIVE and HBASE
    • Should be a Rockstar in HBase and Hive Best Practices
    • Ability to focus on framework for Dev Ops, Ingestion, and Reading/writing into HDFS
    • Worked with different data formats (Parquet, Avro, JSON, XML, etc.)
    • Worked on containerized solutions (Spring Boot and Docker)
    • Translate, load and present disparate data-sets in multiple formats and from multiple sources including JSON, Avro, text files, Kafka queues, and log data.
    • Lead workshops with many teams to define data ingestion, validation, transformation, data engineering, and Data MOdeling
    • Performance tune HIVE and HBASE jobs with a focus on ingestion
    • Design and develop open source platform components using Spark, Sqoop, Java, Oozie, Kafka, Python, and other components
    • Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects, architect and deliver complex projects
    • Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
    • Contribute to the thought capital through the creation of executive presentations, architecture documents and articulate them to executives through presentations
    Qualifications
    • Spring, Docker, Hibernate /Spring , JPA, Pivotal, Kafka, NoSQL,
      Hadoop Containers Docker, work, Spring boot .
    • At least 3+ years of experience on working with large projects including the most recent project in the MapR platform
    • At least 5+ years of Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms
    • Should have experience designing service management, orchestration, monitoring and management requirements of cloud platform.
    • Hands-on experience with Hadoop, Teradata (or other MPP RDBMS), MapReduce, Hive, Sqoop, Splunk, STORM, SPARK, Kafka and HBASE (At least 2 years)
    • Experience with end-to-end solution architecture for data capabilities including:
    • Experience with ELT/ETL development, patterns and tooling (Informatica, Talend)
    • Ability to produce high quality work products under pressure and within deadlines with specific references
    • VERY strong communication, solutioning, and client facing skills especially non-technical business users
    • At least 5+ years of working with large multi-vendor environment with multiple teams and people as a part of the project
    • At least 5+ years of working with a complex Big Data environment
    • 5+ years of experience with Team Foundation Server/JIRA/GitHub and other code management toolsets
  • Preferred Skills And Education
    Masters degree in Computer Science or related field
    Certification in Azure platform
    Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
    More About Perficient
    Perficient is the leading digital transformation consulting firm serving Global 2000 and enterprise customers throughout North America. With unparalleled information technology, management consulting and creative capabilities, Perficient and its Perficient Digital agency deliver vision, execution and value with outstanding digital experience, business optimization and industry solutions.
    Our work enables clients to improve productivity and competitiveness; grow and strengthen relationships with customers, suppliers and partners; and reduce costs. Perficient's professionals serve clients from a network of offices across North America and offshore locations in India and China. Traded on the Nasdaq Global Select Market, Perficient is a member of the Russell 2000 index and the S&P SmallCap 600 index.
    Perficient is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national, origin, disability status, protected veteran status, or any other characteristic protected by law.
    Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
    Select work authorization questions to ask when applicants apply
    • Are you legally authorized to work in the United States?
    • Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?