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.
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• Design, develop, and execute comprehensive test cases and test scenarios for data validation and data quality checks.
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• Validate data accuracy, completeness, and consistency across multiple data sources and target systems.
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• Develop and maintain automated tests for data pipelines and data workflows using appropriate test automation frameworks and tools.
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• Write and optimize complex SQL queries to validate business rules, transformations, and data integrity in Snowflake and related systems.
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• Collaborate with data engineers, developers, and business stakeholders to understand data requirements and define test strategies and acceptance criteria.
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• Identify, document, and track defects, and work with engineering teams to ensure timely resolution.
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• Perform regression testing for changes in data pipelines, schemas, and configurations to ensure stability and reliability.
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• Validate integrations between Snowflake and Salesforce Service Cloud, ensuring data flows and mappings are accurate and reliable.
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• Contribute to continuous improvement of QA processes, test automation coverage, and quality standards for the data platform.
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• Support root cause analysis for data issues and production defects, and help implement preventive measures.
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• Ensure adherence to best practices for data security, compliance, and governance in testing activities. Other Capabilities
• Robust analytical and problem-solving skills with attention to detail in data validation and issue analysis.
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• Ability to work effectively in a contractor capacity within cross-functional and distributed teams.
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• Good communication skills to clearly articulate test results, defects, and data quality issues to technical and non-technical stakeholders.
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• Proactive mindset with the ability to work independently and manage priorities in a fast-paced environment.
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• 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.
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• Hands-on experience with Snowflake, including testing data models, transformations, and performance aspects.
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• Strong SQL skills for writing complex queries, joins, aggregations, and validations across large datasets.
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• Experience in end-to-end pipeline testing, including ETL/ELT processes and data workflows.
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• Proven experience in test automation for data platforms, using relevant frameworks and tools (e.g., Python-based frameworks, SQL automation, or data testing tools).
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• Experience working with Salesforce Service Cloud, including validation of data integrations, mappings, and synchronization between systems.
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• Familiarity with Data Automation & AI concepts and their impact on data quality and testing approaches.
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• Understanding of data warehousing concepts, data modeling, and BI/reporting validations.
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• Experience with defect tracking and test management tools.
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• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent industry experience

📌 Quality Assurance Engineer (Bengaluru)
🏢 Mastek
📍 Bengaluru