Principal, Quality Eng; Data & Analytics
Tasks
- Align QA practices with SOX DORA IFRS regulatory frameworks
- Define Quality Engineering strategy across Data and Analytics platform estate
- Define assurance patterns for Azure Integration Services
- Define validation approaches for Microsoft Fabric workloads
- Design test data and environment strategies
- Drive innovation in testing using AI ML and observability
- Elevate engineering maturity using shift left and shift right testing and quality gates
- Embed automation first testing into CI CD pipelines
- Establish QA practices for EBX master and reference data
- Lead QA for Informatica IDMC data integration services
- Lead platform wide assurance and governance controls
- Partner with stakeholders to ensure data accuracy integrity lineage and resilience
- Shape testing for Control-M orchestration model
Perks/Benefits
- N/A
Skills/Tech-stack
API Testing | Agile | Alerting | Azure Data | Azure Data Lake | Azure Data Lake Gen2 | Azure DevOps | Azure Integration | Azure Integration Services | CI/CD | Control-M | DAX | Data Factory | Data Governance | Data Lake Gen2 | Data Management | Data Quality | Data Reconciliation | DataOps | Dataflow Gen2 | DevOps | Direct Lake | EBX | Event Driven | Event-driven integration | Exception Handling | Hierarchy Testing | Informatica IDMC | Integration Services | Interface Testing | Lakehouse | Lineage validation | Master Data | Master Data Management | Medallion Architecture | Microsoft Fabric | Monitoring | Notebooks | Observability | Performance Testing | Power BI | Power Query | Python | QA Ops | Quality Engineering | Reference Data | Regression testing | Retry Handling | SQL | Semantic models | Service resilience | T-SQL | Test automation | Warehouse | Workflow validation | XMLA
Education
N/A
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