{"id":4196144,"url":"https://alion.io/job/mastek-quality-assurance-engineer","title":"Quality Assurance Engineer","company":{"id":59435,"name":"Mastek","domain":"mastek.com","url":"https://alion.io/company/mastek","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-11-12T10:38:37Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T17:24:54Z","employer_posted_date":null,"last_verified_at":"2026-11-12T17:24:54Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nThe 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.\n\nKey Responsibilities\nPerform end-to-end testing of data pipelines, including ingestion, transformation, and consumption layers on the Snowflake data platform.\n• Design, develop, and execute comprehensive test cases and test scenarios for data validation and data quality checks.\n• Validate data accuracy, completeness, and consistency across multiple data sources and target systems.\n• Develop and maintain automated tests for data pipelines and data workflows using appropriate test automation frameworks and tools.\n• Write and optimize complex SQL queries to validate business rules, transformations, and data integrity in Snowflake and related systems.\n• Collaborate with data engineers, developers, and business stakeholders to understand data requirements and define test strategies and acceptance criteria.\n• Identify, document, and track defects, and work with engineering teams to ensure timely resolution.\n• Perform regression testing for changes in data pipelines, schemas, and configurations to ensure stability and reliability.\n• Validate integrations between Snowflake and Salesforce Service Cloud, ensuring data flows and mappings are accurate and reliable.\n• Contribute to continuous improvement of QA processes, test automation coverage, and quality standards for the data platform.\n• Support root cause analysis for data issues and production defects, and help implement preventive measures.\n• Ensure adherence to best practices for data security, compliance, and governance in testing activities.\n\nOther Capabilities\nStrong analytical and problem-solving skills with attention to detail in data validation and issue analysis.\n• Ability to work effectively in a contractor capacity within cross-functional and distributed teams.\n• Good communication skills to clearly articulate test results, defects, and data quality issues to technical and non-technical stakeholders.\n• Proactive mindset with the ability to work independently and manage priorities in a fast-paced environment.\n• Adaptability to work with evolving data platforms, tools, and processes in Data Automation & AI initiatives.\n\nQualifications and Skills\n5 to 10 years of experience in QA, with a focus on data platform testing and data validation.\n• Hands-on experience with Snowflake, including testing data models, transformations, and performance aspects.\n• Strong SQL skills for writing complex queries, joins, aggregations, and validations across large datasets.\n• Experience in end-to-end pipeline testing, including ETL/ELT processes and data workflows.\n• Proven experience in test automation for data platforms, using relevant frameworks and tools (e.g., Python-based frameworks, SQL automation, or data testing tools).\n• Experience working with Salesforce Service Cloud, including validation of data integrations, mappings, and synchronization between systems.\n• Familiarity with Data Automation & AI concepts and their impact on data quality and testing approaches.\n• Understanding of data warehousing concepts, data modeling, and BI/reporting validations.\n• Experience with defect tracking and test management tools.\n• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent industry experience","description_format":"text","description_chars":3618,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-11-12T20:32:35Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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