Job Summary
Key Responsibilities
2. Define And Enforce Governance, Security, And Compliance Frameworks For Azure Data Solutions, Leveraging Azure Devops For Automated Deployment, Monitoring, And Quality Assurance.
3. Collaborate With Business Stakeholders To Gather Requirements And Translate Them Into Scalable Azure Data Architectures, Optimizing Data Pipelines And Workflows For Performance And Reliability.
4. Review And Validate Architecture And Design Deliverables, Ensuring Adherence To Best Practices In Azure Data Engineering And Continuous Improvement Of Solution Quality.
5. Drive Knowledge Upgradation By Evaluating Emerging Azure Technologies, Establishing Standards, And Mentoring Teams On Advanced Data Engineering Practices And Platform Capabilities.
6. Lead The Development And Implementation Of Reusable Data Assets, Frameworks, And Accelerators To Streamline Delivery And Ensure Consistency Across Projects.
Skill Requirements
2. Advanced Proficiency In Azure Devops For Ci/Cd Automation, InfrastructureAsCode, And Deployment Of Data Pipelines.
3. Excellent Understanding Of Data Modeling, Etl/Elt Processes, Data Governance, And Security Within The Azure Ecosystem.
4. Strong Expertise In Designing Scalable, HighPerformance Data Architectures For Analytics And Reporting.
5. Solid Knowledge Of Industry Best Practices For Cloud Data Platforms, Including Compliance, Monitoring, And Optimization.
Other Requirements
2. Microsoft Certified: Azure Data Engineer Associate (Optional But Valuable