Job Title: Quality Engineer – ETL/ELT Testing, SQL, Snowflake & GCP

Experience: 4+ Years
Work Mode: Remote
Shift Timing: 2:00 PM – 11:00 PM IST
Employment Type: Contract
Location: Remote – India

Job Summary

We are looking for an experienced Quality Engineer with strong expertise in SQL, Snowflake, Google Cloud Platform (GCP), and ETL/ELT testing. The ideal candidate will be responsible for validating data pipelines, performing source-to-target data validation, ensuring data quality and integrity, and executing comprehensive testing across data engineering solutions.

The candidate should have hands-on experience in data warehouse testing, transformation validation, data reconciliation, defect management, and end-to-end data testing.

Key Responsibilities

- Design, develop, and execute ETL/ELT testing strategies for complex data pipelines.
- Write and optimize SQL queries for data validation, reconciliation, and analysis.
- Perform source-to-target validation and transformation testing.
- Execute record-count checks, data completeness checks, and data quality validations.
- Validate Snowflake database objects, datasets, tables, and pipeline outputs.
- Work with GCP-based data platforms to validate data processing and integration workflows.
- Ensure data accuracy, consistency, integrity, and completeness across source and target systems.
- Prepare and execute test cases, test scenarios, and test data.
- Perform functional, integration, regression, and end-to-end testing.
- Identify, document, track, and resolve defects in collaboration with data engineering teams.
- Investigate data discrepancies and validate fixes.
- Prepare test execution reports and maintain testing documentation.




- Continuously improve data testing processes and quality standards.

Required Skills

- 4+ years of experience in Quality Engineering, Data Testing, or ETL Testing.
- Strong hands-on expertise in SQL for data analysis, validation, reconciliation, and testing.
- Practical experience with Snowflake.
- Hands-on experience with Google Cloud Platform (GCP).
- Robust experience in ETL/ELT testing for complex data pipelines.
- Experience with source-to-target validation and transformation testing.
- Good understanding of data warehousing concepts and data pipeline architecture.
- Experience in data quality checks, record-count validation, and data integrity testing.
- Knowledge of test case preparation, test execution, defect tracking, and reporting.

Secondary Skills

- Python for data validation and test automation.
- Data quality testing frameworks and techniques.
- Regression and integration testing.
- Defect management and test documentation.
- Experience collaborating with Data Engineers and cross-functional teams.

Preferred Candidate Profile

- Strong analytical and problem-solving skills.
- Ability to investigate complex data discrepancies.
- Good communication and collaboration skills.
- Ability to work independently in a remote environment.
- Comfortable working in the 2:00 PM – 11:00 PM IST shift.

How to Apply

Interested candidates who meet the above requirements are encouraged to apply with their updated resume, highlighting relevant experience in SQL, Snowflake, GCP, and ETL/ELT testing.

Keywords: Quality Engineer, ETL Tester, Data QA Engineer, SQL Testing, Snowflake Testing, GCP, ETL/ELT Testing, Data Validation, Data Warehouse Testing, Data Quality Engineering.

Pay: ₹45,000.00 - ₹55,000.00 per month

Benefits:

- Work from home

Work Location: Remote

📌 Quality Engineer (India)
🏢 Kasmoprav
📍 India