QA Automation Professional

Senior QA Engineer

SQL proficiency, Python scripting,

Azure data assets and Linux environments

Key responsibilities

• Design, develop, and execute

  automated and manual test cases

  for data pipelines, APIs, and ETL workflows.
• Validate large-scale data sets using

  SQL queries

  and perform data integrity checks across multiple layers (staging, curated, and analytics).
• Build and maintain

  Python-based automation frameworks

  for regression and functional testing.
• Work closely with data engineers and developers to test

  Azure-based components

  (Data Factory, Synapse, Databricks, Blob Storage, SQL DB).
• Perform

  API testing

  and validation using tools such as Postman or custom Python scripts.
• Monitor test execution in

  Linux environments

  , analyze logs, and troubleshoot defects efficiently.
• Participate in sprint planning, provide QA estimations, and drive continuous improvement in test processes.
• Ensure adherence to

  QA best practices

  , performance benchmarks, and data compliance standards.

Technical skills requirements

• 5-7 years of hands-on QA experience in

  data engineering or full-stack environments

  .
• Strong proficiency in

  SQL

  (joins, subqueries, aggregations, data profiling).
• Proven experience in

  Python automation

  (PyTest, Requests, Pandas).
• Working knowledge of

  Azure cloud ecosystem

  including Data Factory, Databricks, Blob Storage, and Synapse.
• Good understanding of

  Linux shell scripting

  and commands.
• Exposure to

  API and backend testing

  in data-centric projects.
• Excellent analytical, debugging, and communication skills.

Nice

-

to

-

have skills

• Familiarity with CI/CD tools (Azure DevOps, Jenkins).
• Knowledge of data governance and validation frameworks.
• ISTQB or equivalent QA certification (optional).

Qualifications

• Familiarity with CI/CD tools (Azure DevOps, Jenkins).
• Knowledge of data governance and validation frameworks.
• ISTQB or equivalent QA certification (optional).

• 4-6 years of work experience in relevant field
• B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred