ETL Developer

4 years

0 Lacs

Posted:16 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Job Title:

Location:

Experience:

Employment Type:


Role Overview:

ETL Developer


Key Responsibilities:

  • Design, develop, and maintain

    ETL jobs

    .
  • Collaborate with

    business analysts, solution architects, and data modelers

    to translate business requirements into efficient ETL workflows.
  • Develop complex

    SQL queries, stored procedures, and data transformation scripts

    for various databases (Oracle, SQL Server, DB2, etc.).
  • Perform

    data validation, quality checks, and performance tuning

    for ETL processes and SQL queries.
  • Support

    data migration

    ,

    batch processing

    , and

    real-time data integration

    initiatives.
  • Create and maintain

    technical documentation

    , including data mappings, job flows, and operational guides.
  • Work closely with

    cross-functional teams

    to ensure data delivery meets enterprise standards and SLAs.
  • Provide

    production support

    , including monitoring, troubleshooting, and resolution of ETL or data-related incidents.


Required Skills & Experience:

  • 4+ years

    of hands-on experience in

    ETL development

    .
  • Strong proficiency in

    SQL

    and

    PL/SQL

    , with experience in at least one major RDBMS (Oracle, SQL Server, DB2, etc.).
  • Expertise in

    ETL performance tuning

    ,

    error handling

    , and

    optimization techniques

    .
  • Solid understanding of

    data warehousing concepts

    , including

    star/snowflake schemas

    and

    data modeling fundamentals

    .
  • Familiarity with

    job scheduling tools

    (e.g., Control-M, Autosys, or equivalent).
  • Proficiency in

    Unix/Linux shell scripting

    for automation and integration tasks.
  • Strong analytical, debugging, and problem-solving skills.
  • Excellent

    communication and collaboration

    abilities.


Good to Have:

  • Experience with

    cloud-based ETL platforms

    such as

    AWS Glue

    ,

    Azure Data Factory

    , or

    GCP Dataflow

    .
  • Exposure to

    Big Data technologies

    (Hadoop, Spark).
  • Familiarity with

    Agile/Scrum

    delivery methodologies.

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