Lead Analytics Engineer

Specialization: Quality Engineering – Performance Testing: SDET. Primary Skills: Jmeter, App monitoring tools, Performance Reporting, HP Load Runner. Business area: AI & Data Engineering.

Responsibilities

Develop and maintain comprehensive test strategies, test plans, test cases, and test data for data engineering pipelines, Microsoft Fabric workloads, Power BI reports, and MDM solutions; Perform source-to-target data validation, record-count checks, aggregate comparisons, null checks, duplicate detection, and business-rule validation; Test Microsoft Fabric pipelines, notebooks, transformations, incremental loads, error handling, and recovery scenarios; Validate Power BI reports, semantic models, DAX calculations, filters, drill-through behavior, refreshes, and security configurations; Test Profisee MDM functionality, including matching, merging, survivorship, golden records, data quality rules, and stewardship workflows; Implement automated testing for data pipelines and reports using SQL, Python, or platform-supported testing capabilities; Build reusable test scripts and regression suites to improve test coverage and reduce manual testing effort; Identify, document, prioritize, and track defects with reproducible steps, supporting evidence, and clear expected versus actual results; Coordinate with developers, business analysts, and technical leads on defect triage, root-cause analysis, retesting, and closure; Maintain requirements-to-test traceability and provide test execution summaries, defect metrics, and quality status reports; Support UAT by preparing test scenarios, validating fixes, and coordinating business acceptance evidence; Contribute to continuous improvement in testing practices, automation coverage, and defect prevention

Requirements

At least 4 to 6 years of experience in quality engineering; Hands-on data pipeline, BI, and MDM testing expertise; Strong SQL skills for data validation, reconciliation, and investigation; Experience testing ETL/ELT pipelines, data warehouses, and data transformations; Hands-on expertise with Microsoft Fabric workloads and Power BI report testing; Proficiency in automating test scripts and regression suites using Python or similar scripting languages; Experience with test management and defect tracking tools such as Jira or Azure DevOps; Knowledge of MDM solutions testing, including Profisee or comparable platforms; Experience designing test cases, executing regression testing, and preparing test reports; Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline; Certification in software testing or data quality assurance (such as ISTQB Advanced Level Test Analyst or equivalent); Relevant certification in BI platforms (such as Microsoft Certified: Data Analyst Associate or similar)

Nice to have

Experience with cloud-based data platforms and testing environments; Knowledge of CI/CD pipelines for automated testing integration; Familiarity with semantic model optimization and DAX performance tuning in Power BI; Exposure to Agile methodologies and collaborative testing practices; Certification in data quality or BI testing frameworks