GS

Data Engineering - Data Design & Curation-Associate

Goldman Sachs

5 months ago

7 - 10 years

Work From Office

Bengaluru, Karnataka, India

  • Design & develop modern data management tools to curate our most important data sets, models and processes.
  • Drive adoption of cloud technology for data processing and warehousing
  • Engage with data consumers and producers in order to design appropriate models to suit enable the business
  • JAVA

    PYTHON

    Cloud Platforms

    Data Warehousing

    Job description & requirements

    How You Will Fulfill York Potential


    1. Design & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
    2. Contribute to an open-source technology - https://github.com/finos/legend
    3. Drive adoption of cloud technology for data processing and warehousing
    4. Engage with data consumers and producers in order to design appropriate models to suit enable the business


    Relevant Technologies: Java, Python, AWS, React


    Basic Qualifications


    1. A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
    2. 2-7+ years of relevant work experience in a team-focused environment
    3. 2-7+ years of experience in distributed system design
    4. 2-7+ years of experience using Java, Python, and/or React
    5. 2-7+ years of experience or interest in functional programming languages
    6. Strong object-oriented design and programming skills and experience in OO languages (Java)
    7. Strong experience with cloud infrastructure (AWS, Azure, or GCP) and infrastructure as code (Terraform, CloudFormation, or ARM templates).
    8. Proven experience applying domain driven design to build complex business applications
    9. Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
    10. In-depth knowledge of relational and columnar SQL databases, including database design
    11. Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL v/s NoSQL modeling, milestoning, indexing, partitioning)
    12. Experience in REST and/or GraphQL
    13. Experience in creating Spark jobs for data transformation and aggregation
    14. Comfort with Agile operating models (practical experience of Scrum / Kanban)
    15. General knowledge of business processes, data flows and the quantitative models that generate or consume data
    16. Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts
    17. Independent thinker, willing to engage, challenge or learn
    18. Ability to stay commercially focused and to always push for quantifiable commercial impact
    19. Strong work ethic, a sense of ownership and urgency
    20. Strong analytical and problem solving skills
    21. Establish trusted partnerships with key contacts and users across business and engineering teams

    Preferred Qualifications


    1. Financial Services industry experience
    2. Experience with Pure/Legend
    3. Working knowledge of open-source tools such as AWS lambda, Prometheus


    Experience :

    7 - 10 years

    Job Domain/Function :

    Data Engineering

    Job Type :

    Work From Office

    Employment Type :

    Full Time

    Number Of Position(s) :

    1

    Educational Qualifications :

    Bachelor's Degree

    Location :

    Bengaluru, Karnataka, India, Bengaluru, Karnataka, India

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    Goldman Sachs

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