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    Sr. Data Engineer Data Activation - Seattle, United States - INSPYR Solutions

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    Description

    Title:
    Sr. Data Engineer Data Activation & Sharing

    Location:
    Seattle, WA (Hybrid 2-3 days a week)

    Duration: 12+ month contract


    Compensation:
    $87.00-$95.40/hr

    Work Requirements:
    US Citizen, GC Holders or Authorized to Work in the U.S.

    We are looking for a Sr. Data Engineer to join the Data Activation team who
    can operate across the enterprise to ensure on-time, high-quality delivery of
    products and features that directly drive our business. The Data Activation team, within the Product & Data Engineering business unit, is responsible for sharing data with internal customers and external 3rd

    party partners in a secure and reliable fashion, ensuing that "chain-of-custody" of our sensitive data is maintained at every step of the process.



    Responsibilities:

    • Interfacing with the key stakeholders to understand the business
    requirements


    • Designing and developing necessary data models, ETL's, reports, etc. as
    per requirements


    • Working with big data technologies such as Spark and cloud database
    technologies like Snowflake


    • Writing test scripts and automating where possible (using tools such as but not limited to Pyspark, bash scripting, python)

    Basic Qualification:

    • Participating in code reviews
    • Ensuring code is checked in as per company guidelines
    • Participating in weekly scrum meetings and daily stand up meetings
    • Contributing to ensure correct status in burn down charts
    • Ensuring QA sign off is obtained, fix any bugs as discovered
    • Supporting product signoff process and fix any issues / bugs discovered
    • Providing post go-live support for addressing any P1 issues

    Preferred Qualifications:

    • 5+ years of data engineering experience developing large data pipelines
    • Strong SQL skills and ability to create queries to extract data and build
    performant datasets


    • Hands-on experience with distributed systems such as Spark (via
    Databricks using Scala or Python) to query and process data.


    • Experience with at least one major MPP (elastic map reduce) or cloud
    database technology (Snowflake, Redshift, Big Query). Snowflake
    experience is strongly preferred.


    • Experience with AWS Cloud technologies (S3 at a minimum)
    • Solid experience with data integration toolsets (i.e Airflow) and writing and

    Required Education:

    • BS STEM +5yrs


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