Lead ETL Developer/ Analyst

Resource Logistics, Inc.

  • New jersey, NJ
  • 30+ days ago

    Highlights

    Design, develop, and enhance Informatica PowerCenter ETL mappings, workflows, and sessions for new development and ongoing enhancements. " Develop and maintain Unix shell scripts for ETL automation, file processing, job orchestration, and monitoring.

    Numbers & Facts

    LocationNew jersey, NJ
    IndustryMedical Devices and Supplies
    Company Size500 to 999 employees

    Description

    Job Title: Lead ETL Developer/ Analyst
    Location: New Jersey onsite
    Experience level (Years) 9+ yrs


    Must have skills
    " Strong SQL expertise for data analysis, reconciliation, and performance tuning.
    o Experience: 5+Years
    " Develop and maintain Unix shell scripts for ETL automation, file processing, job orchestration, and monitoring.
    o Experience: 2+Years

    Preferred skills:
    " Experience or understanding of the insurance distribution domain


    Detailed Job Description:
    Essential Skills & Responsibilities

    "Build automated reconciliation framework with sampling, diffing & volume -ready checks
    "Build data quality framework to apply pro-active checks on data before .
    "Investigate and resolve data issues across upstream and downstream systems, ensuring seamless data flow
    "Write and optimize complex SQL queries to validate large datasets and troubleshoot issues
    "Design, develop, and enhance Informatica PowerCenter ETL mappings, workflows, and sessions for new development and ongoing enhancements.

    Experience: 5+Years
    "Strong SQL expertise for data analysis, reconciliation, and performance tuning.
    o Experience: 5+Years
    "Develop and maintain Unix shell scripts for ETL automation, file processing, job orchestration, and monitoring.
    o Experience: 2+Years

    Good to Have
    "Experience or understanding of the insurance distribution domain


    Technical Skills

    " Strong SQL and Informatica skills (complex queries, joins, aggregations, large dataset validation)
    " Understanding of ETL processes, data pipelines, and data warehousing concepts
    " Experience with data validation, reconciliation, and profiling techniques
    " Experience designing and developing test plans and automated test cases

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