Skills Azure Data Factory + Testing

Exp – 9+ years

: Data Test Lead

Key Responsibilities

- Define and lead the end-to-end data testing strategy for large-scale EDW migration programmes from legacy ETL platforms to cloud-native architectures.
- Drive source-to-target reconciliation, parallel testing, and transformation validation to ensure Azure Data Factory and dbt outputs align with existing Ab Initio processing logic and business rules.
- Design, develop, and automate robust data validation frameworks using:

o dbt testing capabilities o SQL-based reconciliation techniques o ADF validation activities o Custom validation and audit frameworks
- Validate complex transformation logic, aggregations, business rules, and dimensional models across staging, curated, and reporting layers.
- Lead and mentor distributed QA and testing teams across onsite and offshore delivery models.
- Coordinate SIT, UAT, regression, reconciliation, and production validation activities.
- Track test execution progress, defect management, data quality KPIs, and testing metrics for stakeholder and programme reporting.
- Build reusable frameworks for:

o Continuous data quality monitoring o Automated reconciliation o Data lineage validation o Source-to-target validation o Regression testing
- Collaborate closely with Data Architects, ETL Developers, Business Analysts,



and Platform Teams to ensure successful migration delivery.
- Support root cause analysis and defect triage activities for data discrepancies and pipeline failures.
- Ensure adherence to enterprise governance, audit, compliance, and data quality standards.

Required Skills & Experience

- 10+ years of experience in Data Warehouse and ETL Testing, including leadership responsibilities.
- Strong understanding of ETL/ELT concepts and legacy-to-cloud migration testing methodologies.
- Extensive experience in:

o Data validation o Transformation testing o Reconciliation testing o Source-to-target testing o Data quality assurance
- Strong knowledge of Ab Initio components and validation of graphs, mappings, and processing workflows.
- Experience testing Azure Data Factory pipelines, orchestration flows, and metadata-driven frameworks.
- Hands-on expertise in dbt including:

o dbt tests o snapshots o SQL-based transformation validation o model validation o lineage verification
- Advanced SQL expertise with modern cloud databases such as Snowflake.
- Strong understanding of dimensional modelling and enterprise data warehousing concepts.
- Experience with defect management and test management tools such as JIRA, Azure DevOps, or equivalent.
- Robust stakeholder management, communication, and leadership capabilities.

📌 Azure Data Factory + Testing (Mumbai)
🏢 Kaizen Sra Technologies
📍 Mumbai