Python Data Test Automation

7 - 12 years

10 - 20 Lacs

Posted:8 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Data Quality Engineer

Primary Responsibilities

  • Design and implement

    data quality checks

    and validation frameworks for large-scale datasets.
  • Develop automated test scripts using

    Python, SQL, and Selenium

    to validate data pipelines and application workflows.
  • Collaborate with data engineers, analysts, and QA teams to ensure high-quality data delivery.
  • Work with modern data platforms such as

    Snowflake, Databricks, Spark, and Airflow

    to build and monitor data pipelines.
  • Perform root cause analysis and resolve data quality issues in production systems.
  • Document test cases, validation rules, and quality metrics to support continuous improvement.

Good to Have (Preferred Skills)

  • Experience with

    BDD frameworks

    (e.g., Behave, Cucumber) for automated scenario development.
  • Hands-on experience in

    AWS or other cloud environments

    for scalable data solutions.
  • Familiarity with open-source

    data quality tools

    such as

    Deequ, Great Expectations

    , or custom frameworks.
  • Knowledge of CI/CD practices and integration of

    Selenium tests

    into pipelines.
  • Strong understanding of data governance, lineage, and compliance requirements.

SHIFT-

  • Timings- 2 PM to 11 PM

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Rarr Technologies

Information Technology

San Francisco

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