Fastenal India is looking for an IT QA Engineer seeking a detail-oriented and proactive BI Reporting QA Analyst having experience in testing Business Intelligence (BI) solutions, ETL processes, and data reporting platforms.
Job Description :
- Design and document test scenarios, test cases, and test strategies for BI and ETL workflows
- Analyze business requirements and technical specifications for effective test planning and estimation
- Validate data sources, transformation logic, and target tables using ETL testing techniques
- Perform UI validation of Power BI reports including filters, drilldowns, and layout checks
- Test dashboards, KPIs, and role-based visualizations for accuracy and data integrity
- Execute Sanity, Regression, SIT, and UAT testing across multiple environments
- Log and manage defects using JIRA or equivalent tools with detailed documentation
- Collaborate with cross-functional teams to ensure smooth sprint transitions and releases
- Support test automation and CI / CD integration using Python, pySpark, and Azure DevOps
- Maintain traceability matrices and provide documentation for QA processes and knowledge transfer
Required Skills :
Strong understanding of Data Warehouse, BI Reporting, and ETL testing conceptsProficient in writing and executing complex SQL queriesHands-on experience with Oracle Database, Toad, and SQL Server Management StudioFamiliarity with cloud platforms like Azure Data Factory and DatabricksExposure to Python and pySpark for data validation and automationExperience with BI tools such as Power BI, Tableau, or SSRSWorking knowledge of JIRA, Confluence, and test management toolsUnderstanding of Agile / Scrum methodologies and QA processesKnowledge of role-based access, data security, and performance testing (preferred)Strong analytical, problem-solving, communication, and collaboration skillsQualifications :
B.E, B. Tech, MCA, M. Sc3-5 years of relevant experienceSkills Required
Ssrs, Power Bi, Oracle Database, Tableau, Jira, Sql, Pyspark, Sql Server Management Studio, Azure Data Factory, Confluence, Toad, Databricks, Python