Python QA Automation – ETL / SQL / Databricks

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