ETL Python Data Tester

2 - 5 years

6 - 12 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities:

  • Design, develop, and execute test cases for ETL pipelines and data integration workflows.
  • Perform

    data validation, data reconciliation, and data quality checks

    across multiple source and target systems.
  • Develop automated

    Python scripts

    for ETL/data pipeline testing.
  • Write and execute complex

    SQL queries

    to verify data accuracy and integrity.
  • Collaborate with Data Engineers, Developers, and Business Analysts to understand requirements and define test strategies.
  • Perform regression, functional, and performance testing on ETL processes.
  • Identify, document, and track defects using industry-standard defect management tools (e.g., JIRA, ALM).
  • Ensure adherence to data governance, compliance, and security standards during testing.
  • Contribute to continuous improvement of testing processes and automation frameworks.

Required Skills:

  • Strong expertise in

    Python (automation, scripting, data validation)

    .
  • Hands-on experience with

    ETL testing

    and

    data warehouse testing

    .
  • Proficiency in

    SQL

    (joins, aggregations, stored procedures, complex queries).
  • Experience in testing tools like

    PyTest, PySpark, or custom frameworks

    .
  • Familiarity with ETL tools such as

    Informatica, Talend, DataStage, SSIS, or AWS Glue

    (any).
  • Good understanding of

    data warehouse concepts (Star/Snowflake schema, fact/dimension tables, etc.)

    .
  • Experience working with

    big data platforms (Hadoop, Spark, Hive, etc.)

    is an added advantage.
  • Knowledge of

    cloud platforms

    (AWS/Azure/GCP) is a plus.
  • Strong analytical, debugging, and problem-solving skills.

Qualifications:

  • Bachelors degree in Computer Science, Information Technology, or related field.
  • 3–7 years of proven experience in

    ETL/Data Testing

    .
  • Experience in automation frameworks and CI/CD pipelines is preferred.

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