Perform ETL, backend database, and data warehouse testing.
Develop and execute manual and automated test cases for data pipelines and backend applications.
Validate source-to-target data transformations, business rules, and data quality using SQL.
Design ,developand maintain automation frameworks for ETL, database, and regression testing using Python and SQL.
Execute data validation, reconciliation, row count, aggregate, and data integrity testing.
Validate cloud-based data platforms including AWS, Databricks, Redshift, Amazon S3, and RDS.
Develop test plans based on business requirements and acceptance criteria.
Collaborate with cross-functional Agile teams to support sprint planning, defect resolution, and release validation.
Participate in system integration, regression, and performance testing.
Identifydefects, perform root cause analysis, and recommend process improvements.
Bachelor's Degree or equivalent experience 8 Years experience
5 years of Test Automation experience
Qualification
Experience in ETL TestingStrong SQL skills using OracleStrong analyticalDatabricks and Amazon RedshiftPythonSeleniumStored ProceduresAWS IAMREST API testing and CI/CD pipelines
Required
Experience in ETL Testing, Backend Database Testing, and Data Validation.
Strong SQL skills using Oracle, SQL Server, PostgreSQL, MySQL, or Redshift.
Experience developing manual and automation testing solutions.
Hands-on experience with AWS cloud services, Databricks, and data warehouse environments.
Experience creating data-driven test plans and validatinglarge datasets.
Strong analytical, problem-solving, and troubleshooting skills.
Databricks and Amazon Redshift
Python, SQL, PySpark, Java, or C#
Selenium, PyTest, TestRail
Stored Procedures, Functions, and Database Performance Testing
