Description

We are seeking a Senior QA/QC Data Analyst with strong experience in data validation, Power BI testing, and Databricks-based analytics platforms. This role is critical to ensuring data accuracy, consistency, and reliability during enterprise-scale data migration and analytics transformation initiatives.

Key Responsibilities

Design and execute end-to-end data quality validation across source systems, Databricks transformation layers, and Power BI reports.
Perform advanced SQL-based data reconciliation to validate complex business logic and transformation rules.
Validate Power BI dashboards, including DAX calculations, slicers, hierarchies, filters, and drill-through behavior.
Develop and maintain Python-based automation frameworks for recurring data quality and regression checks.
Conduct data profiling, anomaly detection, and root cause analysis for data discrepancies.
Collaborate with data engineering teams to resolve quality issues and support analytics migrations.
Lead UAT data validation, defect triage, and sign-off processes with business stakeholders.
Create and maintain test cases, QA documentation, and quality metrics.
Required Skills & Experience

5–8 years of experience in Data QA/QC, Testing, or Data Validation roles.
Strong proficiency in SQL, including complex joins, aggregations, and reconciliation queries.
Hands-on experience validating Power BI reports and semantic models.
Working knowledge of DAX for testing calculations and measures.
Experience building or maintaining Python-based data validation frameworks.
Solid understanding of Data Warehousing concepts, ELT workflows, and Lakehouse architectures.
Experience with Databricks / Spark-based platforms is strongly preferred.
Exposure to the Azure ecosystem (Databricks, Synapse) is an advantage.
Mandatory experience in the Retail domain.
Education & Competencies

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
Excellent analytical skills, attention to detail, and problem-solving abilities.
Strong communication skills with the ability to work effectively with engineering and business teams

Key Skills

Education

Bachelor's or Master's degrees