Python QA Engineer with ETL Experience

apartmentMak Stalwart placeGurgaon calendar_month 

Job Description

Job Title: Python QA Engineer with ETL ExperienceExperience: 4-9 YearsJob Description:

We are looking for a highly skilled Python QA Engineer with ETL testing experience to join our team. The ideal candidate will have a strong background in automation testing, ETL processes, and data validation.

Key Responsibilities:

  • Develop and execute test plans, test cases, and test scripts for ETL processes and data pipelines.
  • Automate ETL and data validation testing using Python and SQL.
  • Work closely with data engineers and developers to ensure data integrity and correctness.
  • Design, develop, and maintain automated test frameworks for data pipelines and ETL workflows.
  • Perform functional, regression, and performance testing of ETL systems.
  • Debug issues in ETL workflows, track defects, and work with development teams for resolution.
  • Validate data transformations, data mappings, and data loads to ensure accuracy.
  • Utilize CI/CD tools to integrate automated tests into the development pipeline.

Required Skills & Experience:

  • 4-9 years of experience in QA automation and ETL testing.
  • Strong proficiency in Python for test automation.
  • Hands-on experience with SQL for data validation and ETL testing.
  • Experience in ETL tools such as Informatica, Talend, SSIS, or AWS Glue.
  • Familiarity with data warehousing concepts and big data technologies.
  • Strong understanding of API testing and automation frameworks.
  • Knowledge of pytest, Selenium, or other Python-based testing frameworks.
  • Experience working in Agile environments with CI/CD pipelines (Jenkins, Git, Docker, etc.).

Preferred Skills:

  • Experience with Cloud ETL solutions (AWS, Azure, GCP).
  • Familiarity with Kafka, Spark, or other data processing frameworks.
  • Experience with performance testing and data reconciliation.
  • Hands-on experience with JIRA, TestRail, or other test management tools.
Why Join Us
  • Work on cutting-edge data and automation projects.
  • Competitive salary and benefits.
  • Collaborative and innovative work environment.
  • Opportunities for growth and upskilling.
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