Job Summary The QA Engineer Data Platform will be responsible for validating data pipelines, ensuring data quality, and supporting automated testing across a Snowflake-based data platform. The role involves end-to-end pipeline testing, test automation, and close collaboration with data engineering and product teams. Candidate must have relevant experience of 5 to 10 Years.

Key Responsibilities

- Perform end-to-end testing of data pipelines, including ingestion, transformation, and consumption layers on the Snowflake data platform.
- • Design, develop, and execute comprehensive test cases and test scenarios for data validation and data quality checks.
- • Validate data accuracy, completeness, and consistency across multiple data sources and target systems.
- • Develop and maintain automated tests for data pipelines and data workflows using appropriate test automation frameworks and tools.
- • Write and optimize complex SQL queries to validate business rules, transformations, and data integrity in Snowflake and related systems.
- • Collaborate with data engineers, developers, and business stakeholders to understand data requirements and define test strategies and acceptance criteria.
- • Identify, document, and track defects, and work with engineering teams to ensure timely resolution.
- • Perform regression testing for changes in data pipelines, schemas, and configurations to ensure stability and reliability.
- • Validate integrations between Snowflake and Salesforce Service Cloud, ensuring data flows and mappings are accurate and reliable.
- • Contribute to continuous improvement of QA processes, test automation coverage, and quality standards for the data platform.
- • Support root cause analysis for data issues and production defects, and help implement preventive measures.




- • Ensure adherence to best practices for data security, compliance, and governance in testing activities.

Other Capabilities

- Strong analytical and problem-solving skills with attention to detail in data validation and issue analysis.
- • Ability to work effectively in a contractor capacity within cross-functional and distributed teams.
- • Good communication skills to clearly articulate test results, defects, and data quality issues to technical and non-technical stakeholders.
- • Proactive mindset with the ability to work independently and manage priorities in a fast-paced workplace.
- • Adaptability to work with evolving data platforms, tools, and processes in Data Automation & AI initiatives.

Qualifications and Skills

- 5 to 10 years of experience in QA, with a focus on data platform testing and data validation.
- • Hands-on experience with Snowflake, including testing data models, transformations, and performance aspects.
- • Strong SQL skills for writing complex queries, joins, aggregations, and validations across large datasets.
- • Experience in end-to-end pipeline testing, including ETL/ELT processes and data workflows.
- • Proven experience in test automation for data platforms, using relevant frameworks and tools (e.g., Python-based frameworks, SQL automation, or data testing tools).
- • Experience working with Salesforce Service Cloud, including validation of data integrations, mappings, and synchronization between systems.
- • Familiarity with Data Automation & AI concepts and their impact on data quality and testing approaches.
- • Understanding of data warehousing concepts, data modeling, and BI/reporting validations.
- • Experience with defect tracking and test management tools.
- • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent industry experience

📌 Quality Assurance Engineer (Bengaluru)
🏢 Mastek
📍 Bengaluru