Etl Tester

4 - 7 years

0 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

    • Design, develop, and execute 

      ETL test cases

       for validating data extraction, transformation, and loading processes.
    • Perform 

      data validation and reconciliation

       between source, staging, and target systems using complex SQL queries.
    • Conduct 

      API testing (REST/SOAP)

       using tools like 

      Postman, SoapUI, or JMeter

      , including functional, performance, and security aspects.
    • Work on 

      Linux/Unix environments

       for executing shell scripts, monitoring jobs, and validating logs.
    • Perform 

      end-to-end testing

       of ETL workflows, including data pipelines, scheduling, and monitoring tools.
    • Identify, log, and track 

      defects

       in tools like 

      JIRA / Azure DevOps / HP ALM

      , and collaborate with development teams for resolution.
    • Create and maintain 

      test plans, test data, and test reports

       aligned with project requirements.
    • Work closely with 

      business analysts, developers, and data engineers

       to ensure high-quality data delivery.
  • Job Description:

    Required Skills & Experience:

    • 45 years

       of experience in 

      ETL / Data Warehouse Testing

      .
    • Strong expertise in 

      SQL (Joins, Aggregations, Window Functions)

       for validating data at large scale.
    • Good hands-on experience with 

      ETL tools

       (Informatica, Talend, SSIS, DataStage, or similar).
    • Strong experience with 

      Linux/Unix commands

       and shell scripting for job monitoring and debugging.
    • Hands-on experience in 

      API Testing (REST/SOAP)

       using 

      Postman, SoapUI, or JMeter

      .
    • Familiarity with 

      ETL job scheduling tools

       (Control-M, Autosys, Airflow, etc.).
    • Knowledge of 

      QA methodologies, STLC, and defect management processes

      .
    • Exposure to 

      cloud-based data platforms

       (AWS Redshift, Azure Data Factory, or GCP BigQuery) is an advantage.

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