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    Vice President, Data Engineer - New York, United States - Jefferies

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    Description
    Timely deliver end-to-end IT projects based on client requirement. Deploy high availability and scalable applications in production from development environment following Software Development Life Cycle and Agile methodologies. Design and implement end-to-end data pipeline to load, transform, and distribute data using cloud technologies. Manage and groom on-shore and off-shore teams. Develop applications utilizing Python, Bash, and SQL scripting. Develop metadata-driven framework to ingest data files in Snowflake or stage in AWS. Migrate data from on-premises databases to cloud using serverless technologies. Develop stored procedures and PL SQL in Oracle and Python to format the data for downstream consumers. Develop Machine Learning Model to predict the trade settlement result. Build reports for support groups and managers to visualize daily job loads utilizing PowerBI reporting tool. Monitor and support production processes. Resolve issues in case of failures within the Service Level Agreement.


    Requirements:


    Master's degree (US or foreign equivalent) in Computer Science, Information Systems, or a related field plus two (2) years of experience in the position offered or in a software product development role.

    *All of the required experience must have included experience with: Software Development Life Cycle (SDLC); systems design and development; Datawarehouse and analytics; ETL, databases, and scripting programming languages; building and deploying Machine Learning models; and designing and building end-to-end data pipelines.

    This role entails hybrid work, with time split between working in our Jersey City, NJ office and flexibility to telecommute from another U.S.

    location.

    Minimum Salary: 160,000
    Maximum Salary: 160,000

    Salary Unit:
    Yearly

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