QA Engineer – Data Platform / Cloud Warehouse (8+ years ) Gurgaon

Geotech Infoservices; Gurugram District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Geotech Infoservices is seeking an experienced QA Engineer with a strong background in SQL, ETL testing, and data warehouse validation. You will validate data pipelines across platforms and implement test automation using Python and Selenium.

The role focuses on data quality for warehouses such as Snowflake, Databricks, and BigQuery, with collaboration across engineering and data teams to ensure robust data governance and API testing coverage.

Qualifications

• 8+ years of QA/testing experience.
• Strong hands-on experience in complex SQL queries (4+/5 proficiency).
• Strong experience in ETL and backend data testing.
• Exposure to database testing.
• Strong experience in API testing and Selenium (4/5 proficiency).
• Hands-on experience with Python.
• Experience with Data Warehousing, Snowflake, Databricks, and BigQuery.
• Excellent verbal and written communication skills.

Responsibilities

• Perform ETL and backend data testing to validate data pipelines and transformations.
• Write and execute complex SQL queries for data validation and reconciliation.
• Conduct database and data warehouse testing.
• Perform API testing and automate test scenarios using Selenium.
• Develop and maintain test automation scripts using Python.
• Validate data across platforms such as Snowflake, Databricks, and BigQuery.
• Identify, report, track, and troubleshoot defects.
• Collaborate with development and data engineering teams to ensure data quality.

Skills

SQL

ETL Testing

Backend Data Testing

Database Testing

API Testing

Selenium

Python

Data Warehousing

Snowflake

Databricks

BigQuery

QA Automation

Job description

QA Engineer - Data Platform / Cloud Warehouse

Job ID: 1403908 / 785289
Location: Gurgaon
Experience: 8+ Years
Role: QA Automation Engineer - Data Platform / Cloud Warehouse

Job Summary

We are looking for an experienced QA Engineer with strong expertise in SQL, ETL testing, database testing, and test automation. The candidate should have hands‑on experience validating data pipelines and data warehouses, along with proficiency in API testing, Selenium, and Python.

Key Responsibilities

• Perform ETL and backend data testing to validate data pipelines and transformations.
• Write and execute complex SQL queries for data validation and reconciliation.
• Conduct database and data warehouse testing.
• Perform API testing and automate test scenarios using Selenium.
• Develop and maintain test automation scripts using Python.
• Validate data across platforms such as Snowflake, Databricks, and BigQuery.
• Identify, report, track, and troubleshoot defects.
• Collaborate with development and data engineering teams to ensure data quality.

Mandatory Skills

• 8+ years of QA/testing experience.
• Strong hands‑on experience in complex SQL queries (4+/5 proficiency).
• Strong experience in ETL and backend data testing.
• Exposure to database testing.
• Strong experience in API testing and Selenium (4/5 proficiency).
• Hands‑on experience with Python.
• Experience with Data Warehousing, Snowflake, Databricks, and BigQuery.
• Excellent verbal and written communication skills.

Key Skills

SQL | ETL Testing | Backend Data Testing | Database Testing | API Testing | Selenium | Python | Data Warehouse | Snowflake | Databricks | BigQuery | QA Automation