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Senior QA Analyst - Data & BI
Senior QA Analyst - Data & BIWall Street Consulting Services LLC • Hyderabad, Republic Of India, IN
Senior QA Analyst - Data & BI

Senior QA Analyst - Data & BI

Wall Street Consulting Services LLC • Hyderabad, Republic Of India, IN
6 days ago
Job description

Job description :

Job Title : QA Analyst –

Location : Onsite in Rayadurgam, Hyderabad

Employment Type : Full-time

Experience Level : 7 - 12 Years

Job Summary : We are seeking a highly skilled Senior QA Analyst with strong expertise in Power BI Testing, Azure Data Factory (ADF), ETL / ELT pipelines, Data Validation, and Data Seeding. The ideal candidate must have deep experience in validating large-scale data workflows, end-to-end BI reporting solutions, and Azure-based data integrations. This role requires excellent analytical, troubleshooting, and automation skills to ensure high-quality data solutions.

Key Responsibilities

Power BI Testing

  • Validate Power BI dashboards, reports, data models, and DAX calculations.
  • Perform UI / functional testing, filter testing, drill-through validation, and visual consistency checks.
  • Verify dataset refresh schedules, gateway configurations, row-level security (RLS), and user access.
  • Conduct regression testing after report or dataset changes.

Azure Data Factory (ADF) / ETL Testing

  • Validate pipeline executions, triggers, mapping data flows, and linked services.
  • Perform ETL / ELT data validation between source and destination : SQL, Data Lake, Blob, Synapse, etc.
  • Validate data transformations, schema changes, incremental loads, SCD types, and job dependencies.
  • Monitor pipeline failures, debug issues, and verify logs, alerts, and retry logic.
  • Test API-based ingestion and distributed data processing.
  • Data Seeding & Test Data Management

  • Define and build test data strategies for structured and unstructured data sets.
  • Create and maintain data-seeding scripts (SQL / Python / ADF pipelines) to populate test environments.
  • Work with Dev / Data Engineering teams to design stable data sets for functional and regression testing.
  • Ensure data versioning, masking, and compliance with security standards.
  • Quality Engineering & Automation

  • Build SQL-based validation scripts and reusable automation frameworks for ETL / ADF testing.
  • Perform API testing for data ingestion endpoints.
  • Automate data comparisons and report validations wherever possible.
  • Implement test processes for data accuracy, completeness, lineage, and reconciliation.
  • Agile Collaboration

  • Participate in sprint planning, story grooming, and definition-of-done (DOD) creation.
  • Work closely with Data Engineers, Power BI Developers, Cloud Engineers, and Product Owners.
  • Document test cases, traceability matrices, and release notes.
  • Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 7–12 years of QA experience with strong data and BI testing background.
  • Hands-on experience in :
  • Power BI Testing (reports, DAX, dataset validation, RLS).
  • Azure Data Factory (pipelines, data flows, triggers, ADF monitoring).
  • ETL / ELT testing with SQL, Data Lake, Blob storage, Synapse.
  • Data Seeding using SQL scripts, ADF pipelines, or automation tools.
  • Strong SQL querying for data validation, joins, aggregations, and reconciliation.
  • Experience in Python or PowerShell for automation (preferred).
  • Experience with Azure DevOps, Git, CI / CD pipelines.
  • Solid understanding of data warehousing concepts, star schema, fact / dimension modeling.
  • Strong communication, documentation, and analytical skills.
  • Preferred Skills

  • Experience with Power BI Premium, XMLA endpoints, and Tabular Editor.
  • Experience in PySpark / Databricks for large-volume data validation.
  • QA automation with Selenium, pytest, or custom data validation frameworks.
  • Knowledge of P&C Insurance / BFSI domain (optional but preferred).
  • Create a job alert for this search

    Senior Qa Analyst • Hyderabad, Republic Of India, IN

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