ETL Developer

7 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Location:

Work Mode:

Experience:


Role Overview:

ETL Developer


Key Responsibilities:

  • Design, develop, and maintain ETL jobs using

    IBM Datastage

    .
  • Work closely with business analysts, architects, and data modelers to understand business requirements and convert them into scalable ETL solutions.
  • Develop complex

    SQL queries

    ,

    stored procedures

    , and performance-optimized scripts for data extraction, transformation, and loading.
  • Conduct

    data quality checks

    , troubleshooting, and performance tuning of Datastage jobs and SQL queries.
  • Support

    data migration

    ,

    batch processing

    , and

    real-time integration

    projects.
  • Document

    technical specifications

    , mappings, workflows, and operational processes.
  • Collaborate with cross-functional teams to ensure high-quality data delivery in compliance with enterprise standards.
  • Provide

    production support

    , including monitoring, debugging, and resolving ETL/data-related issues.


Required Skills & Experience:

  • 4+ years of hands-on experience in

    ETL development

    using

    IBM Datastage

    .
  • Strong expertise in

    SQL

    ,

    PL/SQL

    , and relational databases (Oracle, SQL Server, DB2, or similar).
  • Experience with

    ETL performance tuning

    , optimization, and error handling.
  • Knowledge of

    data warehousing concepts

    ,

    star/snowflake schemas

    , and

    data modeling basics

    .
  • Strong understanding of

    job scheduling tools

    (e.g., Control-M, Autosys, or equivalent).
  • Good knowledge of

    Unix/Linux shell scripting

    for automation and integration.
  • Excellent

    problem-solving

    skills with the ability to debug and resolve complex data issues.
  • Strong

    communication

    and

    collaboration

    skills.


Good to Have:

  • Experience in

    cloud-based ETL solutions

    (AWS Glue, Azure Data Factory, GCP Dataflow).
  • Familiarity with

    Big Data platforms

    (Hadoop, Spark) is an added advantage.
  • Exposure to

    Agile/Scrum methodologies

    .

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