OnlyDataJobs.com

118118Money
  • Austin, TX

Seeking an individual with a keen eye for good design combined with the ability to communicate those designs through informative design artifacts. Candidates should be familiar with an Agile development process (and understand its limitations), able to mediate between product / business needs and developer architectural needs. They should be ready to get their hands dirty coding complex pieces of the overall architecture.

We are .NET Core on the backend, Angular 2 on a mobile web front-end, and native on Android and iOS. We host our code across AWS and on-premises VMs, and use various data backends (SQL Server, Oracle, Mongo).

Very important is interest in (and hopefully, experience with) modern big data pipelines and machine learning. Experience with streaming platforms feeding Apache Spark jobs that train machine learning models would be music to our ears. Financial platforms generate massive amounts of data, and re-architecting aspects of our microservices to support that will be a key responsibility.

118118 Money is a private financial services company with R&D headquartered in Austin along highway 360, in front of the Bull Creek Nature preserve. We have offices around the world, so the candidate should be open to occasional travel abroad. The atmosphere is casual, and has a startup feel. You will see your software creations deployed quickly.

Responsibilities

    • Help us to build a big data pipeline and add machine learning capability to more areas of our platform.
    • Manage code from development through deployment, including support and maintenance.
    • Perform code reviews, assist and coach more junior developers to adhere to proper design patterns.
    • Build fault-tolerant distributed systems.

Requirements

    • Expertise in .NET, C#, HTML5, CSS3, Javascript
    • Experience with some flavor of ASP.NET MVC
    • Experience with SQL Server
    • Expertise in the design of elegant and intuitive REST APIs.
    • Cloud development experience (Amazon, Azure, etc)
    • Keen understanding of security principles as they pertain to service design.
    • Expertise in object-oriented design principles.

Desired

    • Machine Learning experience
    • Mobile development experience
    • Kafka / message streaming experience
    • Apache Spark experience
    • Knowledge of the ins and outs of Docker containers
    • Experience with MongoDB
Ventula Consulting
  • Northampton, UK
  • Salary: £70k - 75k

Lead Software Engineer – Java – Global Bank – Machine Learning / Big Data, to £75k + Exceptional Package


Lead Software Engineer with a strong background in Java development required to join a new innovation focused team working on greenfield projects.


My client is working on a number of cutting edge Machine Learning and AI solutions which are set to revolutionise fraud detection and prevention so this is a great opportunity to make a real impact on the future of Banking technology.


This role would suit a highly ambitious Software Developer who is looking for a genuine challenge.


You will be joining a newly established innovation team within the Bank which consists of highly skilled technical individuals and industry thought leaders.


There is a very real opportunity for rapid career progression into both technical and management focused roles due to the high profile nature of this function.


The ideal Lead Software Engineer will have the following experience:



  • Expert in Java software Development – Java 8 or later versions

  • Experience developing Business Critical systems with low latency performance

  • Development background creating solutions using AWS

  • Any experience in Big Data, MongoDB, Spark, MySQL and React / Node would be nice to have although not a necessity


This role will be based in Northampton and offers a package of between £70-£75k + an exceptional package including Bonus, strong pension, private healthcare and a host of other benefits.

Accenture
  • San Diego, CA
Organization: Accenture Applied Intelligence
Position: Artificial Intelligence Engineer - Consultant
The digital revolution is changing everything. Its everywhere transforming how we work and play. Accenture Digitals 36,000 professionals are driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, youll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on.
Accenture Applied Intelligence, part of Accenture Digital, helps clients to use analytics and artificial intelligence to drive actionable insights, at scale. We apply sophisticated algorithms, data engineering and visualization to extract business insights and help clients turn those insights into actions that drive tangible outcomesto improve their performance and disrupt their markets. Accenture Applied Intelligence is a leader in big data analytics, with deep industry and technical experience. We provide services and solutions that include Analytics Advisory, Data Science, Data Engineering and Analytics-as-a-Service.
Role Description
As an AI engineer, you will facilitate the transfer of advanced AI technologies from the research labs to the domain testbeds and thus the real world. You will participate in the full research to deployment pipeline. You will help conceptualize and develop research experiments, and then implement the systems to execution these experiments. You will lead or work with a team and interact closely with deep experience machine learning engineering and research and the industry partners. You will attend reading groups and seminars, master research techniques and engineering practices, and design research tools and experimental testbeds. You will apply state-of-the-art AI algorithms, explore new solutions, and build working prototypes. You will also learn to deploy the systems and solutions at scale.
Responsibilities
    • Use Deep Learning and Machine Learning to create scalable solutions for business problems.
    • Deliver Deep Learning/Machine Learning projects from beginning to end, including business understanding, data aggregation, data exploration, model building, validation and deployment.
    • Define Architecture Reference Assets - Apply Accenture methodology, Accenture reusable assets, and previous work experience to delivery consistently high quality work. Deliver written or oral status reports regularly. Stay educated on new and emerging market offerings that may be of interest to our clients. Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems
    • Work hands on to demonstrate and prototype integrations in customer environments. Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture.
    • Solution and Proposal Alignment - Through a formal sales process, work with the Sales team to identify and qualify opportunities. Conduct full technical discovery, identifying pain points, business and technical requirements, as is and to be scenarios.
    • Understand the strategic direction set by senior management as it relates to team goals. Use considerable judgment to define solution and seeks guidance on complex problems.
Qualifications
    • Bachelors degree in AI, Computer Science, Engineering, Statistics, Physics.
    • Minimum of 1 year of experience in production deployed solutions using artificial intelligence or machine learning techniques.
    • Minimum of 1 years previous consulting or client service delivery experience
    • Minimum of 2 years of experience with system integration architectures, private and public cloud architectures, pros/cons, transformation experience
    • Minimum of 1 year of full lifecycle deployment experience
Preferred Skills
    • Masters or PhD in Analytics, Statistic or other quantitative disciplines
    • Deep learning architectures: convolutional, recurrent, autoencoders, GANs, ResNets
    • Experience in Cognitive tools like Microsoft Bot Framework & Cognitive Services, IBM Watson, Amazon AI services
    • Deep understanding of Data structures and Algorithms
    • Deep experience in Python, C# (.NET), Scala
    • Deep knowledge with MxNet, CNTK, R, H20, TensorFlow, PyTorch
    • Highly desirable to have experience in: cuDNN, NumPY, SciPy
Professional Skill Requirements
    • Recent success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Excellent communication (written and oral) and interpersonal skills
    • Demonstrated leadership in professional setting; either military or civilian
    • Demonstrated teamwork and collaboration in a professional setting; either military or civilian
    • Ability to travel extensively
OUR COMMITMENT TO YOU
    • Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement.
    • You will make a difference for some pretty impressive clients. Accenture serves 94 of the Fortune Global 100 and more than 80 percent of the Fortune Global 500.
    • You will be an integral part of a market-leading analytics organization, including the largest and most diversified group of digital, technology, business process and outsourcing professionals in the world. You can leverage our global team to support analytics innovation workshops, rapid capability development, enablement and managed services.
    • You will have access to Accentures deep industry and functional expertise. We operate across more than 40 industries and have hundreds of offerings addressing key business and technology issues. Through our global network, we bring unparalleled experience and comprehensive capabilities across industries and business functions, and extensive research on the worlds most successful companies. You will also be able to tap into the continuous innovation of our Accenture Technology Labs and Innovation Centers, as well as top universities such as MIT through our academic alliance program.
    • You will have access to distinctive analytics assets that we use to accelerate delivering value to our clients including more than 550 analytics assets underpinned by a strong information management and BI technology foundation. Accenture has earned more than 475 patents and patents pending globally for software assets, data- and analytic-related methodologies and content.
    • As the worlds largest independent technology services provider, we are agnostic about technology but have very clear viewpoints about what is most appropriate for a clients particular challenge. You will have access to our alliances with market-leading technology providers and collaborative relationships with emerging players in the analytics and big data spacethe widest ecosystem in the industry. These alliances bring together Accentures extensive analytics capabilities and alliance providers technology, experience and innovation to power analytics-based solutions.
    • You will have access to the best talent. Accenture has a team of more than 36,000 digital professionals including technical architects, big data engineers, data scientists and business analysts, as well as user digital strategists and experience designers.
    • Along with a competitive salary, Accenture offers a comprehensive package that includes generous paid time off, 401K match and an employee healthcare plan. Learn more about our extensive rewards and benefits here: Benefits .
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.
Arcadis
  • Atlanta, GA

Arcadis is seeking a Director of Advanced Analytics to join our North America Digital Team.


The Director of Advanced Analytics (North America) is responsible for the development and implementation of a strategy centered around elevating our current analytics capabilities, identifying use cases within our current business, and identifying new business opportunities anchored around analytics. Together with the core/extended Arcadis Digital team(s) he/she will drive digital change within the organization which includes frequently interacting with Arcadians at all levels from the executive leadership, project managers, and entry level employees in addition to clients by providing technical expertise, guidance, and hands-on support on data processing, analytical models, and visualization techniques.

Key Responsibilities:

Develop capabilities in analytics phases
 

  • Evaluate our existing analytics capabilities and develop a strategy for Analytics in North America, that will create value for our employees, clients, and partners.
  • Develop Arcadiss capabilities in descriptive, predictive, and prescriptive analytics
  • Leading the development of required analytics skills in North America - by a combination of recruiting and training
  • Train our colleagues valuable technical skills on-the-job, which can include data processing, coding models in R, Python, BaysiaLab, etc, creating powerful visualizations and interfaces (e.g. using RShiny or Tableau), and developing the data infrastructure needed


Analytics as a value add to projects
 

  • Advise in the implementation of analytics and data life cycle on projects/programs
  • Capture the resulting insights from the data life cycle
  • Communicate the value of using analytics instead of the traditional way of working
  • Identify where analytics can be used as a differentiator
  • Scope out analytics services and develop monetization strategies
  • Develop powerful use cases, in close collaboration with market leaders and external partners


Advise clients on their analytics journey
 

  • Advising clients on data governance/management
  • Identify new business opportunities with existing and potential clients
  • Participation in design thinking/client visioning workshops


Evangelist/Leader for analytics
 

  • Empower our colleagues to implement analytics on their projects
  • Communicate complex ideas in a simple way using story telling
  • Inspire our colleagues to innovate and adopt of analytics


Develop strategy for analytics on overall business/bring in best practices in analytics
 

  • Integrate yourself within the existing business to evaluate where analytics can be strategically be implemented.
  • Collaborate closely with / support the Chief Digital Officer, North America with taking the lead and providing technical expertise within Analytics
  • Collaborate closely with / support the Global CDO / Analytics team by supporting the development of a global Analytics roadmap and data strategy
  • Participating in regular exchanges with other digital / analytics leaders in other regions


Leadership Requirements
 

  • Proven leadership capabilities
  • Ability to work cross-functionally with all levels of management, both internally and externally.
  • Ability to inspire clients and potential partners with new ideas and discipline combined with pragmatism to implement them rapidly;
  • Ability to develop a plan and approach to strategic problems - communicating and mobilizing teams to deliver against the plan;
  • The ideal candidate: Talented, passionate and high energy leader with a blend of technology/digital savviness and built & natural asset industry knowledge.


Key Requirements
 

  • Deep knowledge and expertise in analytics, including expert knowledge of the common software applications, such as R, Python or database management tools, such as SQL or MongoDB.
  • Complete understanding of cloud technologies
  • Complete understand of data lake implementation and other data governance practices
  • Knowledge of design thinking and client visioning workshops
  • Experience in agile project management and product development


Key Attributes
 

  • Knowledge of best practices in analytics across the industry
  • Broad and strategic perspective on the current and future global technology landscape
  • Credible counterpart for existing or potential partners with strong business acumen combined with solid technical skills;
  • Self-starter, high energy, can work independently and remotely and comfortable with ambiguity;
  • Communication and relationship skills, ability to engage with a broad range of international stakeholders;
  • Ability to work in a global matrix organization and to deal with different cultures worldwide;
  • Proactive, practical, entrepreneurial, open-minded, flexible and creative;
  • Excellent command of English, both spoken and written.
  • Given the international spread of the business a certain level of flexibility in working hours is important.
  • 7+ years of professional experience with an impressive track record in Analytics and bringing data-driven initiatives to success, ideally at the intersection of natural & built assets and analytics/digital


Required Qualifications

  • Masters Degree (preferably in Business Analytics, Data Science or Computer Science) preferred.
  • 10+ years of professional experience with an impressive track record in Analytics


Preferred Qualifications

  • MA/MS/MBA degree from a top-tier university / research institution
Delivery Hero SE
  • Berlin, Germany

We are now looking for a tech geek who will grow with our well renowned engineering department as a Senior Engineering Manager - Python/Scala (f/m/d). Join our inquisitive team in the center of Berlin, and start to reinvent food delivery. 



  • Lead and empower an experienced team of engineers, focused on building innovative customer-facing solutions such as customer reviews and ratings, surveys, insights intelligence for restaurants and delivery riders



  • Develop and continuously improve microservices and scalable systems in Python and Scala in our global cloud platform running in multiple regions



  • Work closely with business teams, communicate solutions with non-technical stakeholders and solve challenges



  • Ensure continued service reliability and 24/7 provide technical support for global services



  • Design and implement cutting-edge insights and customer-facing services



  • Practice modern software development methodologies such as continuous delivery, TDD, scrum and collaborate with product managers



  • Participate in code reviews and application debugging and diagnosis.



Your heroic skills:



  • 3 years of hands-on technical leadership and people management experience



  • Excellent knowledge and Hands-on programming experience in developing in Python and/or Scala applications.



  • A completed technical degree in Computer Science or any related fields.



  • Profound knowledge and working experience with unix and systems engineering



  • Several years of experience in design and implementation large scale software systems



  • Experience working with relational databases and NoSQL Technologies and interest in Elasticsearch and Google Cloud and Microservices architectures.



  • Development and co-ownership of applications used by over 100.000 daily users.



  • Curiosity, creative outside-the-box problem solving abilities and an eye for detail.



We offer you:



  • Develop your skills with your educational budget for conferences and external trainings.

  • Exchange ideas and meet fellow developers at regular meetups and in our active guilds.

  • Get to know your colleagues during company parties, hackathons, cultural and sports events.

  • English is our working language, and our colleagues at Delivery Hero come from every corner of the globe, working in diverse, cross-cultural teams.

  • Flexible working hours.

  • Save responsibly with our corporate pension scheme.

  • Enjoy fresh fruits, cereals, beverages, tea and coffee in our lounges. 

  • Take a break with Kicker or table tennis.

  • Take a timeout in our nap room.

  • Learn German with free classes, access our e-learning platform and participate in our inhouse trainings.

  • Enjoy massages or get your hair cut in the office.



Are you the missing ingredient? Send us your CV!



Read about the latest updates from our Tech & Product teams on our blog.


Find our stack here.

Pyramid Consulting, Inc
  • Atlanta, GA

Job Title: Tableau Engineer

Duration: 6-12 Months+ (potential to go perm)

Location: Atlanta, GA (30328) - Onsite

Notes from Manager:

We need a data analyst who knows Tableau, scripting (JSON, Python), Altreyx API, AWS, Analytics.

Description

The Tableau Software engineer will be a key resource to work across our Software Engineering BI/Analytics stack to ensure stability, scalability, and the delivery of valuable BI & Analytics solutions for our leadership teams and business partners. Keys to this position are the ability to excel in identification of problems or analytic gaps and mapping and implementing pragmatic solutions. An excellent blend of analytical, technical and communication skills in a team based environment are essential for this role.

Tools we use: Tableau, Business Objects, AngularJS, OBIEE, Cognos, AWS, Opinion Lab, JavaScript, Python, Jaspersoft, Alteryx and R packages, Spark, Kafka, Scala, Oracle

Your Role:

·         Able to design, build, maintain & deploy complex reports in Tableau

·         Experience integrating Tableau into another application or native platforms is a plus

·         Expertise in Data Visualization including effective communication, appropriate chart types, and best practices.

·         Knowledge of best practices and experience optimizing Tableau for performance.

·         Experience reverse engineering and revising Tableau Workbooks created by other developers.

·         Understand basic statistical routines (mean, percentiles, significance, correlations) with ability to apply in data analysis

·         Able to turn ideas into creative & statistically sound decision support solutions

Education and Experience:

·         Bachelors degree in Computer Science or equivalent work experience

·         3-5 Years of hands on experience in data warehousing & BI technologies (Tableau/OBIEE/Business Objects/Cognos)

·         Three or more years of experience in developing reports in Tableau

·         Have good understanding of Tableau architecture, design, development and end user experience.

What We Look For:

·         Very proficient in working with large Databases in Oracle & Big Data technologies will be a plus.

·         Deep understanding & working experience of data warehouse and data mart concepts.

·         Understanding of Alteryx and R packages is a plus

·         Experience designing and implementing high volume data processing pipelines, using tools such as Spark and Kafka.

·         Experience with Scala, Java or Python and a working knowledge of AWS technologies such as GLUE, EMR, Kinesis and Redshift preferred.

·         Excellent knowledge with Amazon AWS technologies, with a focus on highly scalable cloud-native architectural patterns, especially EMR, Kinesis, and Redshift

·         Experience with software development tools and build systems such as Jenkins

The HT Group
  • Austin, TX

Full Stack Engineer, Java/Scala Direct Hire Austin

Do you have a track record of building both internal- and external-facing software services in a dynamic environment? Are you passionate about introducing disruptive and innovative software solutions for the shipping and logistics industry? Are you ready to deliver immediate impact with the software you create?

We are looking for Full Stack Engineers to craft, implement and deploy new features, services, platforms, and products. If you are curious, driven, and naturally explore how to build elegant and creative solutions to complex technical challenges, this may be the right fit for you. If you value a sense of community and shared commitment, youll collaborate closely with others in a full-stack role to ship software that delivers immediate and continuous business value. Are you up for the challenge?

Tech Tools:

  • Application stack runs entirely on Docker frontend and backend
  • Infrastructure is 100% Amazon Web Services and we use AWS services whenever possible. Current examples: EC2 Elastic Container Service (Docker), Kinesis, SQS, Lambda and Redshift
  • Java and Scala are the languages of choice for long-lived backend services
  • Python for tooling and data science
  • Postgres is the SQL database of choice
  • Actively migrating to a modern JavaScript-centric frontend built on Node, React/Relay, and GraphQL as some of our core UI technologies

Responsibilities:

  • Build both internal and external REST/JSON services running on our 100% Docker-based application stack or within AWS Lambda
  • Build data pipelines around event-based and streaming-based AWS services and application features
  • Write deployment, monitoring, and internal tooling to operate our software with as much efficiency as we build it
  • Share ownership of all facets of software delivery, including development, operations, and test
  • Mentor junior members of the team and coach them to be even better at what they do

Requirements:

  • Embrace the AWS + DevOps philosophy and believe this is an innovative approach to creating and deploying products and technical solutions that require software engineers to be truly full-stack
  • Have high-quality standards, pay attention to details, and love writing beautiful, well-designed and tested code that can stand the test of time
  • Have built high-quality software, solved technical problems at scale and believe in shipping software iteratively and often
  • Proficient in and have delivered software in Java, Scala, and possibly other JVM languages
  • Developed a strong command over Computer Science fundamentals
GrubHub Seamless
  • New York, NY

Got a taste for something new?

We’re Grubhub, the nation’s leading online and mobile food ordering company. Since 2004 we’ve been connecting hungry diners to the local restaurants they love. We’re moving eating forward with no signs of slowing down.

With more than 90,000 restaurants and over 15.6 million diners across 1,700 U.S. cities and London, we’re delivering like never before. Incredible tech is our bread and butter, but amazing people are our secret ingredient. Rigorously analytical and customer-obsessed, our employees develop the fresh ideas and brilliant programs that keep our brands going and growing.

Long story short, keeping our people happy, challenged and well-fed is priority one. Interested? Let’s talk. We’re eager to show you what we bring to the table.

About the Opportunity: 

Senior Site Reliability Engineers are embedded in Big Data specific Dev teams to focus on the operational aspects of our services, and our SREs run their respective products and services from conception to continuous operation.  We're looking for engineers who want to be a part of developing infrastructure software, maintaining it and scaling. If you enjoy focusing on reliability, performance, capacity planning, and the automation everything, you’d probably like this position.





Some Challenges You’ll Tackle





TOOLS OUR SRE TEAM WORKS WITH:



  • Python – our primary infrastructure language

  • Cassandra

  • Docker (in production!)

  • Splunk, Spark, Hadoop, and PrestoDB

  • AWS

  • Python and Fabric for automation and our CD pipeline

  • Jenkins for builds and task execution

  • Linux (CentOS and Ubuntu)

  • DataDog for metrics and alerting

  • Puppet





You Should Have






  • Experience in AWS services like Kinesis, IAM, EMR, Redshift, and S3

  • Experience managing Linux systems

  • Configuration management tool experiences like Puppet, Chef, or Ansible

  • Continuous integration, testing, and deployment using Git, Jenkins, Jenkins DSL

  • Exceptional communication and troubleshooting skills.


NICE TO HAVE:



  • Python or Java / Scala development experience

  • Bonus points for deploying/operating large-ish Hadoop clusters in AWS/GCP and use of EMR, DC/OS, Dataproc.

  • Experience in Streaming data platforms, (Spark streaming, Kafka)

  • Experience developing solutions leveraging Docker

Avaloq Evolution AG
  • Zürich, Switzerland

The position


Are you passionate about data? Are you interested in shaping the next generation of data science driven products for the financial industry? Do you enjoy working in an agile environment involving multiple stakeholders?

A challenging role as Senior Data Scientist in a demanding, dynamic and international software company using the latest innovations in predictive analytics and visualization techniques. You will be driving the creation of statistical and machine learning models from prototyping until the final deployment.

We want you to help us to strengthen and further develop the transformation of Avaloq to a data driven product company. Make analytics scalable and accelerate the process of data science innovation.





Your profile


  • PhD or Master degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field

  • 5+ years of experience in Statistical Modelling, Anomaly Detection, Machine Learning algorithms both Supervised and Unsupervised

  • Proven experience in applying data science methods to business problems

  • Ability to explain complex analytical concepts to people from other fields

  • Proficiency in at least one of the following: Python, R, Java/Scala, SQL and/or SAS

  • Knowledgeable with BigData technologies and architectures (e.g. Hadoop, Spark, stream processing)

  • Expertise in text mining and natural language processing is a strong plus

  • Familiarity with network analysis and/or graph databases is a plus

  • High integrity, responsibility and confidentiality a requirement for dealing with sensitive data

  • Strong presentation and communication skills

  • Experience in leading teams and mentoring others

  • Good planning and organisational skills

  • Collaborative mindset to sharing ideas and finding solutions

  • Experience in the financial industry is a strong plus

  • Fluent in English; German, Italian and French a plus



Professional requirements




  • Use machine learning tools and statistical techniques to produce solutions for customer demands and complex problems

  • Participate in pre-sales and pre-project analysis to develop prototypes and proof-of-concepts

  • Analyse customer behaviour and needs enabling customer-centric product development

  • Liaise and coordinate with internal infrastructure and architecture team regarding setting up and running a BigData & Analytics platform

  • Strengthen data science within Avaloq and establish a data science centre of expertise

  • Look for opportunities to use insights/datasets/code/models across other functions in Avaloq



Main place of work
Zurich

Contact
Avaloq Evolution AG
Alina Tauscher, Talent Acquisition Professional
Allmendstrasse 140 - 8027 Zürich - Switzerland

careers@avaloq.com
www.avaloq.com/en/open-positions

Please only apply online.

Note to Agencies: All unsolicited résumés will be considered direct applicants and no referral fee will be acknowledged.
Avaloq Evolution AG
  • Zürich, Switzerland

The position


Are you passionate about data architecture? Are you interested in shaping the next generation of data science driven products for the financial industry? Do you enjoy working in an agile environment involving multiple stakeholders?

Responsible for selecting appropriate technologies from open source, commercial on-premises and cloud-based offerings. Integrating a new generation of tools within the existing environment to ensure access to accurate and current data. Consider not only the functional requirements, but also the non-functional attributes of platform quality such as security, usability, and stability.

We want you to help us to strengthen and further develop the transformation of Avaloq to a data driven product company. Make analytics scalable and accelerate the process of data science innovation.


Your profile


  • PhD, Master or Bachelor degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field

  • Knowledgeable with BigData technologies and architectures (e.g. Hadoop, Spark, data lakes, stream processing)

  • Practical experience with Container Platforms (OpenShift) and/or containerization software (Kubernetes, Dockers)

  • Hands-on experience developing data extraction and transformation pipelines (ETL process)

  • Expert knowledge in RDBMS, NoSQL and Data Warehousing

  • Familiar with information retrieval software such as Elastic Search/Lucene/SOLR

  • Firm understanding of major programming/scripting languages like Java/Scala, Linux, PHP, Python and/or R

  • High integrity, responsibility and confidentiality a requirement for dealing with sensitive data

  • Strong presentation and communication skills

  • Good planning and organisational skills

  • Collaborative mindset to sharing ideas and finding solutions

  • Fluent in English; German, Italian and French a plus





 Professional requirements


  • Be a thought leader for best practice how to develop and deploy data science products & services

  • Provide an infrastructure to make data driven insights scalable and agile

  • Liaise and coordinate with stakeholders regarding setting up and running a BigData and analytics platform

  • Lead the evaluation of business and technical requirements

  • Support data-driven activities and a data-driven mindset where needed



Main place of work
Zurich

Contact
Avaloq Evolution AG
Anna Drozdowska, Talent Acquisition Professional
Allmendstrasse 140 - 8027 Zürich - Switzerland

www.avaloq.com/en/open-positions

Please only apply online.

Note to Agencies: All unsolicited résumés will be considered direct applicants and no referral fee will be acknowledged.
Accenture
  • San Diego, CA
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.
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 highly collaborative and growing network of technology and data experts, who are 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. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
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.
Business & Technology Integration professionals advise upon, design, develop and/or deliver technology solutions that support best practice business changes
The Bus&Industry Integration Assoc Mgr aligning technology with business strategy and goals they working directly with the client gathering requirements to analyze, design and/or implement technology best practice business changes. They are sought out as experts internally and externally for their deep functional or industry expertise, domain knowledge, or offering expertise. They enhance Accenture's marketplace reputation.
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.
Data Management professionals define strategies and develop/deliver solutions and processes for managing enterprise-wide data throughout the data lifecycle from capture to processing to usage across all layers of the application architecture.
A professional at this position level within Accenture has the following responsibilities:
Identifies, assesses and solves complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors.
Closely follows the strategic direction set by senior management when establishing near term goals.
Interacts with senior management at a client and/or within Accentureon matters where they may need to gain acceptance on an alternate approach.
Has some latitude in decision-making. Acts independently to determine methods and procedures on new assignments.
Decisions have a major day to day impact on area of responsibility.
Manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum of 3 plus years of hands-on technical experience implementing Big Data solutions utilizing Hadoop or other Data Science and Analytics platforms.
    • Minimum of 3 plus years of experience with a full life cycle development from functional design to deployment
    • Minimum 2 plus years of hands-on technical experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Minimum 3 plus years of hands-on technical experience in developing solutions utilizing at least two of the following:
    • Kafka based streaming services
    • R Studio
    • Cassandra , MongoDB
    • MapReduce, Pig, Hive
    • Scala, Spark
    • knowledge on Jenkins, Chef, Puppet
  • Bachelor's degree or equivalent years of work experience
  • Ability to travel 100%, Monday- Thursday
Professional Skill Requirements
    • Proven ability to build, manage and foster 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
    • Excellent leadership and management skills
All of 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.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a federal contractor and 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.
ITCO Solutions, Inc.
  • Austin, TX

The Sr. Engineer will be building pipelines using Spark ScalaMust Haves:
Expertise in the Big Data processing and ETL Pipeline
Designing large scaling ETL pipelines - batch and realtime
Expertise in Spark Scala coding and Data Frame API (rather than the SQL based APIs)
Expertise in core Data Frame APIs
Expertise in doing unit testing Spark Data frame API based code
Strong in Scripting knowledge using Python and shell scripting
Experience and expertise in working on performance tuning of large scale data pipelines

SafetyCulture
  • Surry Hills, Australia
  • Salary: A$120k - 140k

The Role



  • Be an integral member on the team responsible for design, implement and maintain distributed big data capable system with high-quality components (Kafka, EMR + Spark, Akka, etc).

  • Embrace the challenge of dealing with big data on a daily basis (Kafka, RDS, Redshift, S3, Athena, Hadoop/HBase), perform data ETL, and build tools for proper data ingestion from multiple data sources.

  • Collaborate closely with data infrastructure engineers and data analysts across different teams, find bottlenecks and solve the problem

  • Design, implement and maintain the heterogeneous data processing platform to automate the execution and management of data-related jobs and pipelines

  • Implement automated data workflow in collaboration with data analysts, continue to improve, maintain and improve system in line with growth

  • Collaborate with Software Engineers on application events, and ensuring right data can be extracted

  • Contribute to resources management for computation and capacity planning

  • Diving deep into code and constantly innovating


Requirements



  • Experience with AWS data technologies (EC2, EMR, S3, Redshift, ECS, Data Pipeline, etc) and infrastructure.

  • Working knowledge in big data frameworks such as Apache Spark, Kafka, Zookeeper, Hadoop, Flink, Storm, etc

  • Rich experience with Linux and database systems

  • Experience with relational and NoSQL database, query optimization, and data modelling

  • Familiar with one or more of the following: Scala/Java, SQL, Python, Shell, Golang, R, etc

  • Experience with container technologies (Docker, k8s), Agile development, DevOps and CI tools.

  • Excellent problem-solving skills

  • Excellent verbal and written communication skills 

Accenture
  • Atlanta, GA
Are you ready to step up to the New and take your technology expertise to the next level?
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 highly collaborative and growing network of technology and data experts, who are 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. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
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.
As part of our Advanced Technology & Architecture (AT&A) practice, 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 experts who are highly collaborative taking on todays biggest, most complex business challenges. 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.
    • Produce clean, standards based, modern code with an emphasis on advocacy toward end-users to produce high quality software designs that are well-documented.
    • Demonstrate an understanding of technology and digital frameworks in the context of data integration.
    • Ensure code and design quality through the execution of test plans and assist in development of standards, methodology and repeatable processes, working closely with internal and external design, business, and technical counterparts.
Big Data professionals develop deep next generation Analytics skills to support Accenture's data and analytics agendas, including skills such as Data Modeling, Business Intelligence, and Data Management.
A professional at this position level within Accenture has the following responsibilities:
    • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary.
    • Primary upward interaction is with direct supervisor.
    • May interact with peers, client counterparts and/or management levels within Accenture.
    • Understands methods and procedures on new assignments and executes deliverables with guidance as needed.
    • May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance .
    • Decisions often impact the team in which they reside.
    • Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum 2 plus years of hands-on technical experience implementing or supporting Big Data solutions utilizing Hadoop.
      Expe
    • rience developing solutions utilizing at least two of the following: Kaf
        k
      • a based streaming services
      • R Studio
      • Cassandra, MongoDB
      • MapReduce, Pig, Hive
      • Scala, Spark
      • Knowledge on Jenkins, Chef, Puppet
Preferred Qualifications
    • Hands-on technical experience utilizing Python
    • Full life cycle development experience
    • Experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Ability to configure and support API and OpenSource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Experience with DevOps support
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
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 a Federal Contractor and 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
  • Raleigh, NC
Are you ready to step up to the New and take your technology expertise to the next level?
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 highly collaborative and growing network of technology and data experts, who are 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. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
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.
As part of our Advanced Technology & Architecture (AT&A) practice, 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 experts who are highly collaborative taking on todays biggest, most complex business challenges. 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.
    • Produce clean, standards based, modern code with an emphasis on advocacy toward end-users to produce high quality software designs that are well-documented.
    • Demonstrate an understanding of technology and digital frameworks in the context of data integration.
    • Ensure code and design quality through the execution of test plans and assist in development of standards, methodology and repeatable processes, working closely with internal and external design, business, and technical counterparts.
Big Data professionals develop deep next generation Analytics skills to support Accenture's data and analytics agendas, including skills such as Data Modeling, Business Intelligence, and Data Management.
A professional at this position level within Accenture has the following responsibilities:
    • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary.
    • Primary upward interaction is with direct supervisor.
    • May interact with peers, client counterparts and/or management levels within Accenture.
    • Understands methods and procedures on new assignments and executes deliverables with guidance as needed.
    • May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance .
    • Decisions often impact the team in which they reside.
    • Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum 2 plus years of hands-on technical experience implementing or supporting Big Data solutions utilizing Hadoop.
      Expe
    • rience developing solutions utilizing at least two of the following: Kaf
        k
      • a based streaming services
      • R Studio
      • Cassandra, MongoDB
      • MapReduce, Pig, Hive
      • Scala, Spark
      • Knowledge on Jenkins, Chef, Puppet
Preferred Qualifications
    • Hands-on technical experience utilizing Python
    • Full life cycle development experience
    • Experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Ability to configure and support API and OpenSource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Experience with DevOps support
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
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 a Federal Contractor and 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.
DISYS
  • Minneapolis, MN
Client: Banking/Financial Services
Location: 100% Remote
Duration: 12 month contract-to-hire
Position Title: NLU/NLP Predictive Modeling Consultant


***Client requirements will not allow OPT/CPT candidates for this position, or any other visa type requiring sponsorship. 

This is a new team within the organization set up specifically to perform analyses and gain insights into the "voice of the customer" through the following activities:
Review inbound customer emails, phone calls, survey results, etc.
Review data that is unstructured "natural language" text and speech data
Maintain focus on customer complaint identification and routing
Build machine learning models to scan customer communication (emails, voice, etc)
Identify complaints from non-complaints.
Classify complaints into categories
Identify escalated/high-risk complaints, e.g. claims of bias, discrimination, bait/switch, lying, etc...
Ensure routed to appropriate EO for special

Responsible for:
Focused on inbound retail (home mortgage/equity) emails
Email cleansing: removal of extraneous information (disclaimers, signatures, headers, PII)
Modeling: training models using state of art techniques
Scoring: "productionalizing" models to be consumed by the business
Governance: model documentation and Q/A with model risk group.
Implementation of model monitoring processes

Desired Qualifications:
Real-world experience building/deploying predictive models, any industry (must)
SQL background (must)
Self-starter, able to excel in fast-paced environment w/o a ton of direction (must)
Good communication skills (must)
Experience in text/speech analytics (preferred)
Python, SAS background (preferred)
Linux (nice to have)
Spark (Scala or PySpark) (nice to have)

Mix.com
  • Phoenix, AZ

Are you interested in scalability & distributed systems? Do you want to work to help shaping a discovery engine powered by cutting edge technologies and machine learning at scale? If you answered yes to the above questions, Mix's Research and Development is the team for you!


In this role, you'll be part of a small and innovative team comprised of engineers and data scientists working together to understand content by leveraging machine learning and NLP technologies. You will have the opportunity to work on core problems like detection of low quality content or spam, text semantic analysis, video and image processing, content quality assessment and monitoring. Our code operates at massive scale, ingesting, processing and indexing millions of URLs.



Responsibilities

  • Write code to build an infrastructure, which is capable of scaling based on the load
  • Collaborate with researchers and data scientists to integrate innovative Machine Learning and NLP techniques with our serving, cloud and data infrastructure
  • Automate build and deployment process, and setup monitoring and alerting systems
  • Participate in the engineering life-cycle, including writing documentation and conducting code reviews


Required Qualifications

  • Strong knowledge of algorithms, data structures, object oriented programming and distributed systems
  • Fluency in OO programming language, such as  Scala (preferred), Java, C, C++
  • 3+ years demonstrated expertise in stream processing platforms like Apache Flink, Apache Storm and Apache Kafka
  • 2+ years experience with a cloud platform like Amazon Web Services (AWS) or Microsoft Azure
  • 2+ years experience with monitoring frameworks, and analyzing production platforms, UNIX servers and mission critical systems with alerting and self-healing systems
  • Creative thinker and self-starter
  • Strong communication skills


Desired Qualifications

  • Experience with Hadoop, Hive, Spark or other MapReduce solutions
  • Knowledge of statistics or machine learning
Comcast
  • Englewood, CO

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

Job Summary:

Software engineering skills combined with the demands of a high volume, highly-visible analytics platform make this an exciting challenge for the right candidate.

Are you passionate about digital media, entertainment, and software services? Do you like big challenges and working within a highly motivated team environment?

As a software engineer in the Data Experience (DX) team, you will research, develop, support, and deploy solutions in real-time distributing computing architectures. The DX big data team is a fast-moving team of world-class experts who are innovating in providing user-driven, self-service tools for making sense and making decisions with high volumes of data. We are a team that thrives on big challenges, results, quality, and agility.

Who does the data engineer work with?

Big Data software engineering is a diverse collection of professionals who work with a variety of teams ranging from other software engineering teams whose software integrates with analytics services, service delivery engineers who provide support for our product, testers, operational stakeholders with all manner of information needs, and executives who rely on big data for data backed decisioning.

What are some interesting problems you'll be working on?

Develop systems capable of processing millions of events per second and multi-billions of events per day, providing both a real-time and historical view into the operation of our wide-array of systems. Design collection and enrichment system components for quality, timeliness, scale and reliability. Work on high-performance real-time data stores and a massive historical data store using best-of-breed and industry-leading technology.

Where can you make an impact?

Comcast DX is building the core components needed to drive the next generation of data platforms and data processing capability. Running this infrastructure, identifying trouble spots, and optimizing the overall user experience is a challenge that can only be met with a robust big data architecture capable of providing insights that would otherwise be drowned in an ocean of data.

Success in this role is best enabled by a broad mix of skills and interests ranging from traditional distributed systems software engineering prowess to the multidisciplinary field of data science.

Responsibilities:

  • Develop solutions to big data problems utilizing common tools found in the ecosystem.
  • Develop solutions to real-time and offline event collecting from various systems.
  • Develop, maintain, and perform analysis within a real-time architecture supporting large amounts of data from various sources.
  • Analyze massive amounts of data and help drive prototype ideas for new tools and products.
  • Design, build and support APIs and services that are exposed to other internal teams
  • Employ rigorous continuous delivery practices managed under an agile software development approach
  • Ensure a quality transition to production and solid production operation of the software

Skills & Requirements:

  • 5+ years programming experience
  • Bachelors or Masters in Computer Science, Statistics or related discipline
  • Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem.
  • Experience working on big data platforms in the cloud or on traditional Hadoop platforms
  • AWS Core
  • Kinesis
  • IAM
  • S3/Glacier
  • Glue
  • DynamoDB
  • SQS
  • Step Functions
  • Lambda
  • API Gateway
  • Cognito
  • EMR
  • RDS/Auora
  • CloudFormation
  • CloudWatch
  • Languages
  • Python
  • Scala/Java
  • Spark
  • Batch, Streaming, ML
  • Performance tuning at scale
  • Hadoop
  • Hive
  • HiveQL
  • YARN
  • Pig
  • Scoop
  • Ranger
  • Real-time Streaming
  • Kafka
  • Kinesis
  • Data File Formats:
  • Avro, Parquet, JSON, ORC, CSV, XML
  • NoSQL / SQL
  • Microservice development
  • RESTful API development
  • CI/CD pipelines
  • Jenkins / GoCD
  • AWS
    • CodeCommit
    • CodeBuild
    • CodeDeploy
    • CodePipeline
  • Containers
  • Docker / Kubernetes
  • AWS
    • Lambda
    • Fargate
    • EKS
  • Analytics
  • Presto / Athena
  • QuickSight
  • Tableau
  • Test-driven development/test automation, continuous integration, and deployment automation
  • Enjoy working with data data analysis, data quality, reporting, and visualization
  • Good communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly.
  • Great design and problem solving skills, with a strong bias for architecting at scale.
  • Adaptable, proactive and willing to take ownership.
  • Keen attention to detail and high level of commitment.
  • Good understanding in any: advanced mathematics, statistics, and probability.
  • Experience working in agile/iterative development and delivery environments. Comfort in working in such an environment. Requirements change quickly and our team needs to constantly adapt to moving targets.

About Comcast DX (Data Experience):

Data Experience(DX) is a results-driven, data platform research and engineering team responsible for the delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization. The mission of DX is to gather, organize, make sense of Comcast data, and make it universally accessible to empower, enable, and transform Comcast into an insight-driven organization. Members of the DX team define and leverage industry best practices, work on extremely large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines

Comcast is an EOE/Veterans/Disabled/LGBT employer

UST Global
  • San Diego, CA

KEY SKILLSETS

- 7+ years experience with Python

- 4+ years experience with Java


General Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state of the art methods
- Extending business data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Min 8 yrs of experience
- Hands on experience in Python
- Excellent understanding of machine learning techniques and algorithms.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc Excellence in at least one of these is highly desirable
- Great communication skills
- Experience with data visualization tools, such as GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB
- Good applied statistics skills, such as distributions, statistical testing, regression,