Role: Data Testing with SQL & AWS
Location: Bangalore, India
Experience: 5+ years
Notice: Immediate to 30 days

Job Overview:

We are looking for a detail-oriented Data Tester with strong experience in SQL and AWS to validate data pipelines, ensure data integrity, and support end-to-end testing of data solutions. The ideal candidate will have a strong understanding of data validation, ETL testing, and cloud-based data platforms.

Key Responsibilities:

• Perform end-to-end testing of data pipelines, ETL processes, and data transformations
• Validate large datasets using complex SQL queries to ensure accuracy and consistency
• Design and execute test cases, test plans, and test strategies for data-centric applications
• Work closely with Data Engineers, Analysts, and Business teams to understand data requirements
• Conduct data reconciliation, data quality checks, and identify discrepancies
• Perform API and backend data validation where required
• Test data workflows in AWS environments (e.g., S3, Redshift, Glue, Lambda)
• Automate testing processes where possible to improve efficiency
• Identify, log, and track defects through resolution

Required Skills & Experience:

• 5+ years of experience in Data Testing / ETL Testing
• Strong proficiency in SQL (complex queries, joins, aggregations, data validation)
• Hands-on experience with AWS services such as S3, Redshift, Glue, Lambda, or Athena
• Experience in validating large-scale datasets and data warehousing systems
• Good understanding of ETL processes and data migration testing
• Familiarity with test management and defect tracking tools (e.g., JIRA)
• Strong analytical and problem-solving skills

Good to Have:

• Experience with automation tools (Python, Selenium, or similar)
• Exposure to data visualization tools like Power BI or Tableau
• Knowledge of CI/CD pipelines and DevOps practices
• Experience working in Agile/Scrum environments