AWS Data Engineer

Polar IT Services

  • Greenwood Village, Colorado
  • 30+ days ago

    Highlights

    This role sits within a data architecture team responsible for designing and evolving high-volume data systems that power critical business insights. Overview: We are partnering with a leading enterprise client to hire a Senior Data Engineer for a contract opportunity supporting a large-scale mobile data platform.

    Numbers & Facts

    LocationGreenwood Village, Colorado

    Description

    Hello Folks,
    Hope you are doing good!
    Please find the below requirement and let me know your interest?



    Job Title: AWS Data Engineer
    Location: Greenwood Village, CO
    Mode Of Work: 4 Days Onsite
    W2 Role
    Visa: GC, GC EAD, H4 EAD & USC only

    Job Description
    Overview: We are partnering with a leading enterprise client to hire a Senior Data Engineer for a contract opportunity supporting a large-scale mobile data platform. This role sits within a data architecture team responsible for designing and evolving high-volume data systems that power critical business insights. The team is currently supporting a high-priority strategic initiative, creating the need for an experienced engineer to own and stabilize core platform responsibilities. This is a hands-on opportunity with meaningful ownership and architectural exposure. You will take ownership of day-to-day data engineering responsibilities within a large-scale batch processing ecosystem.

    Key Responsibilities Include:
    • Monitor and ensure reliability and accuracy of ETL processes
    • Improve and automate data pipeline monitoring
    • Maintain and enhance Spark and SQL-based transformations
    • Design and implement new data integrations
    • Optimize AWS jobs and storage for performance and cost efficiency
    • Contribute to data architecture standards and engineering best practices
    • This role plays a critical part in maintaining the stability and scalability of the platform
    • Technical Environment: ~300 Spark-based batch jobs
    • Heavy SQL-based transformations
    • AWS ecosystem (S3, Athena, Spark)
    • Large-scale batch processing (non-real time)
    • 150 critical daily data transformations feeding downstream systems
    • Daily reliability is essential, as downstream tools and stakeholders depend on consistent data delivery

    Please share with me his visa copy, DL copy and below mentioned details.
     

     
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    Thanks
    Jagdish |Manager – IT Staffing
    T (443)-489-4433 |

    Jagdish@polarits.com


    6095 Marshalee Dr, Suite 250, Elkridge, MD 21075



     
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