Job Description
Hiring: Python QA Automation – ETL / SQL / Databricks
Work Mode: Hybrid
Location - Indore/Pune/Bangalore
Overall Exp. - 7+ years
Python - 6 years of relevant exp required
Automation exp would be highly preferred
🔹 Key Skills
SQL, Python, Testing, SQL Queries, QA, ETL, PyTest, ETL Testing, Data Warehousing, CTE, Performance Queries, Python Testing, PyCharm, Pandas
🔹 Non-Negotiable Across All Variants
• Strong hands-on Python (real coding depth)
• Automation framework experience (PyTest / Unittest)
• Data validation experience
• SQL proficiency
• Backend/data testing mindset (not UI-heavy Selenium tester)
📌 JD 1: Python QA Automation – ETL
Overall exp. - 7+ years
Python And ETL - 6 years of relevant exp required,
Automation exp would be highly preferred
Role Summary
Python Automation Engineer with strong ETL testing experience and exposure to Power BI validation. Responsible for validating data pipelines and reporting accuracy.
Must-Have Skills
• Strong Python scripting (automation-focused)
• ETL testing (source-to-target validation)
• Data reconciliation & transformation validation
• SQL (joins, aggregations, window functions)
• Data warehouse concepts
• Power BI report validation (dataset, DAX logic, backend query validation)
• PyTest / Unittest framework experience
Good to Have
• ADF / Informatica / SSIS
• CI/CD (Jenkins, Git)
• Cloud data platforms
📌 JD 2: Python QA Automation – SQL Heavy
Overall exp - 7+ years
Python And SQL - 6 years of relevant exp required,
Automation exp would be highly preferred
Role Summary
Python Automation Engineer focused on backend data validation and heavy SQL-based testing.
Must-Have Skills
• Strong Python automation coding
• Advanced SQL (CTEs, window functions, performance queries)
• Backend/database validation testing
• Data warehouse validation
• API/backend testing exposure
• Automation frameworks (PyTest)
Good to Have
• CI/CD integration
• Data pipeline validation
• Cloud exposure
📌 JD 3: Python QA Automation – Databricks
Overall exp - 7+ years
Python And Databricks - 6 years of relevant exp required,
Automation exp would be highly preferred
Role Summary
Python Automation Engineer with exposure to Databricks and data lake validation.
Must-Have Skills
• Strong Python coding
• PySpark validation
• Databricks exposure
• Delta table validation
• Data pipeline testing
• SQL for data validation
Good to Have
• Azure/AWS
• ADF
• CI/CD
Work Mode: Hybrid
Location - Indore/Pune/Bangalore
Overall Exp. - 7+ years
Python - 6 years of relevant exp required
Automation exp would be highly preferred
🔹 Key Skills
SQL, Python, Testing, SQL Queries, QA, ETL, PyTest, ETL Testing, Data Warehousing, CTE, Performance Queries, Python Testing, PyCharm, Pandas
🔹 Non-Negotiable Across All Variants
• Strong hands-on Python (real coding depth)
• Automation framework experience (PyTest / Unittest)
• Data validation experience
• SQL proficiency
• Backend/data testing mindset (not UI-heavy Selenium tester)
📌 JD 1: Python QA Automation – ETL
Overall exp. - 7+ years
Python And ETL - 6 years of relevant exp required,
Automation exp would be highly preferred
Role Summary
Python Automation Engineer with strong ETL testing experience and exposure to Power BI validation. Responsible for validating data pipelines and reporting accuracy.
Must-Have Skills
• Strong Python scripting (automation-focused)
• ETL testing (source-to-target validation)
• Data reconciliation & transformation validation
• SQL (joins, aggregations, window functions)
• Data warehouse concepts
• Power BI report validation (dataset, DAX logic, backend query validation)
• PyTest / Unittest framework experience
Good to Have
• ADF / Informatica / SSIS
• CI/CD (Jenkins, Git)
• Cloud data platforms
📌 JD 2: Python QA Automation – SQL Heavy
Overall exp - 7+ years
Python And SQL - 6 years of relevant exp required,
Automation exp would be highly preferred
Role Summary
Python Automation Engineer focused on backend data validation and heavy SQL-based testing.
Must-Have Skills
• Strong Python automation coding
• Advanced SQL (CTEs, window functions, performance queries)
• Backend/database validation testing
• Data warehouse validation
• API/backend testing exposure
• Automation frameworks (PyTest)
Good to Have
• CI/CD integration
• Data pipeline validation
• Cloud exposure
📌 JD 3: Python QA Automation – Databricks
Overall exp - 7+ years
Python And Databricks - 6 years of relevant exp required,
Automation exp would be highly preferred
Role Summary
Python Automation Engineer with exposure to Databricks and data lake validation.
Must-Have Skills
• Strong Python coding
• PySpark validation
• Databricks exposure
• Delta table validation
• Data pipeline testing
• SQL for data validation
Good to Have
• Azure/AWS
• ADF
• CI/CD
💡 Quick Summary
Seeking a career-building opportunity? The Python QA Automation – ETL / SQL / Databricks position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Pune offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
