Quality Assurance Engineer

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 environment.
• • 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