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Job Description

Job Title - ETL Developer - Informatica BDM/DEI


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Job Summary -


ETL Developer


Key Responsibilities


  • Design, develop, and maintain

    ETL pipelines

    using

    Informatica BDM/DEI

    for batch and real-time data integration
  • Integrate data from diverse sources including relational databases, flat files, cloud storage, and

    big data platforms

    such as Hive and Spark
  • Translate business and technical requirements into

    mapping specifications

    and transformation logic
  • Optimize

    mappings, workflows

    , and job executions to ensure high performance, scalability, and reliability
  • Conduct

    unit testing

    and participate in integration and system testing
  • Collaborate with

    data architects, analysts, and business stakeholders

    to understand requirements and deliver robust solutions
  • Support data quality checks, exception handling, and metadata documentation
  • Monitor, troubleshoot, and resolve ETL job issues and performance bottlenecks
  • Ensure adherence to

    data governance

    and

    compliance

    standards throughout the development lifecycle


Key Skills and Qualification


  • 5-8 years of experience in

    ETL development

    with a focus on

    Informatica BDM/DEI

  • Strong knowledge of

    data integration techniques

    , transformation logic, and job orchestration
  • Proficiency in

    SQL

    , with the ability to write and optimize complex queries
  • Experience working with

    Hadoop ecosystems

    (e.g., Hive, HDFS, Spark) and large-volume data processing
  • Understanding of performance optimization in ETL and big data environments
  • Familiarity with job scheduling tools and workflow orchestration (e.g., Control-M, Apache Airflow, Oozie)
  • Good understanding of

    data warehousing

    ,

    data lakes

    , and

    data modeling principles

  • Experience working in

    Agile/Scrum

    environments
  • Excellent analytical, problem-solving, and communication skills


Good to have


  • Experience with

    cloud data platforms

    (AWS Glue, Azure Data Factory, or GCP Dataflow)
  • Exposure to

    Informatica IDQ (Data Quality)

    is a plus
  • Knowledge of Python, Shell scripting, or automation tools
  • Informatica or Big Data certifications


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