Senior Quality Assurance Engineer - ETL/Datawarehouse Testing (8-16 yrs)

Job Title : Senior ETL QA Engineer

Location : India (Remote)

Mode of Work : Remote

Contract : 6.Months to 1.Years

Experience : 8-12 Years

Job Description :

We are looking for a highly skilled Senior ETL QA Engineer to join our team. The ideal candidate will have strong expertise in ETL QA testing, Python scripting, and hands-on experience with Snowflake. Candidates with a background in the Banking and Finance domain will be preferred.

Key Responsibilities :

- Develop, execute, and maintain automation scripts using Python to validate ETL processes and data pipelines.

- Perform end-to-end ETL testing to ensure data quality, integrity, and performance.

- Conduct advanced-level SQL queries to validate data transformations and ensure alignment with business requirements.

- Design and execute test cases for Snowflake data warehouses and cloud-based ETL processes.

- Identify, log, and track defects to closure while maintaining clear and concise documentation.

- Collaborate with developers, business analysts, and stakeholders to resolve issues and improve overall testing strategies.

- Work closely with data engineers to test and validate data mappings, transformations, and integrations.

- Generate test reports and dashboards to communicate the progress and outcomes of QA activities.

- Support regression testing and test automation for existing ETL pipelines.

Required Skills and Qualifications :

- Education : Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

- Experience : 8-12 years of QA experience, with a focus on ETL testing.

Technical Skills :

- Expertise in Python scripting for automation.

- Strong knowledge of ETL testing processes, methodologies, and tools.

- Proficiency in Snowflake and cloud-based data warehouses.

- Advanced-level SQL skills for writing complex queries and validating large datasets.

- Familiarity with ETL tools and frameworks.

- Domain Knowledge : Preferably from the Banking and Finance domain with an understanding of domain-specific data processing needs.

- Strong analytical and problem-solving skills with attention to detail.

- Excellent communication and collaboration abilities.

Preferred Skills :

- Experience with Agile/Scrum methodologies.

- Knowledge of other database platforms and testing tools.

- Exposure to data visualization tools for reporting test results