{"id":2776612,"url":"https://alion.io/job/kestra-holdings-quality-engineer-etldwh-testing","title":"Quality Engineer - ETL/DWH Testing","company":{"id":3865512,"name":"Kestra Holdings","domain":"kestraholdings.com","url":"https://alion.io/company/kestraholdings","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"A","score":96,"open_postings":35,"ghost_share":0,"stale_share":0.171,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","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":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Master Data Management","optional":false},{"name":"Python","optional":false},{"name":"Shift-Left Security","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T23:08:16Z","employer_posted_date":null,"last_verified_at":"2026-09-28T23:08:16Z","board_verified":false,"closed_at":null,"days_open":35,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":35},"description":"About Kestra:\nKestra is a U.S.-based wealth management platform built to support independent financial professionals and the clients they serve. Together, we provide technology, investment platforms, operational and business services, compliance and reporting, and specialized expertise that help advisors focus on what matters most - building trusted relationships and helping clients achieve meaningful financial goals. As one of the fastest growing organizations in the wealth management space, Kestra is building its India Innovation Center in Bangalore to help shape how the organization operates and scales. Disclaimer: Associates at the Kestra India are employed by ANSR, which owns and operates the center. They provide technology and business services for Kestra.\n\nKey Responsibilities:\nQuality Engineering & Test Strategy:\nDefine and implement end-to-end quality engineering strategies for data platforms, pipelines, and analytics solutions.\nEstablish testing standards for data ingestion, transformation, MDM, and consumption layers.\nDrive a shift-left quality mindset, embedding testing early in the development lifecycle.\nDefine test coverage, quality gates, and acceptance criteria aligned with business and regulatory requirements.\n\nData Quality & Validation:\nDesign and execute data validation frameworks to ensure accuracy, completeness, consistency, and timeliness.\nValidate master data domains (e.g., Client, Account, Advisor, Product) and downstream analytics datasets.\nPartner with Data Governance teams to align quality rules with business definitions and stewardship processes.\nSupport reconciliation, controls, and audit requirements for regulated datasets.\n\nTest Automation & Tooling:\nBuild and maintain automated test frameworks for data pipelines, APIs, and analytics outputs.\nAutomate regression, smoke, and data quality tests integrated with CI/CD pipelines.\nLeverage SQL, Python, and data testing tools to validate complex data transformations.\nEnable automated testing for Databricks, Azure data services, and MDM platforms.\n\nPlatform & Integration Testing:\nValidate end-to-end data flows across source systems, MDM, Databricks Lakehouse, and BI tools.\nPerform performance, scalability, and reliability testing for large-scale data pipelines.\nSupport UAT by partnering with business users and Product Owners to ensure requirements are met.\nAssist with production readiness, release validation, and post-deployment verification.\n\nCollaboration & Continuous Improvement:\nWork closely with Data Engineers, MDM Engineers, Product Owners, and Business Analysts to resolve quality issues.\nProvide guidance and mentorship to engineers and analysts on quality best practices.\nAnalyze defects and incidents to identify root causes and drive preventive improvements.\nContinuously improve QE frameworks, tools, and processes.\n\nTechnical Responsibilities (Hands-On):\nDevelop data quality and validation scripts using SQL, Python, and Spark-based frameworks.\nValidate Databricks Lakehouse solutions built on Delta Lake.\nTest MDM configurations, matching rules, survivorship logic, and publishing processes.\nIntegrate quality checks into CI/CD pipelines and automated deployment workflows.\nMonitor and report on quality metrics, trends, and risks.\n\nQualifications:\n7+ years of experience in Quality Engineering, QA, or Test Automation roles, with a strong focus on data platforms.\n3+ years of hands-on experience testing data pipelines, data warehouses, or lakehouse architectures.\nStrong proficiency in SQL and experience using Python for test automation and validation.\nExperience with cloud-based data platforms, preferably Azure and Databricks.\nSolid understanding of data engineering concepts, data modeling, and ETL/ELT processes.\nExperience working in Agile delivery environments.\n\nPreferred Experience:\nExperience testing MDM platforms (e.g., Profisee) and master data domains.\nExperience in financial services or regulated industries.\nFamiliarity with data governance, data catalogs, and metadata management tools.\nExperience with API testing and validation of downstream data consumers (BI, reporting, analytics).","description_format":"text","description_chars":4140,"description_truncated":false,"requirements":{"experience_years_min":7,"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":["Wealth Management & Financial Advisors","Online Brokerage & Trading 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