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Specialist - Data Engineering

Job Req Id:  1279009
1. Candidate should have at least 6 yrs. experience working on data workflow development in Azure stack. 2. Strong understanding of Azure service components like SQL DB, SQL Server / Synapse, Data Bricks, ADLS / Blob storage, ADF. 3. Candidate should have a good understanding of developing end to end data ingestion pipelines in ADF and using ADF for ETL/ELT orchestration. 4. Very strong experience in Data Bricks. Must be able to develop and optimize Data bricks notebooks and jobs. Experience in Python / Spark (Scala would be great). 5. Candidate should have a good understanding of business logic and should be able to reconstruct/migrate logic written in legacy application to Azure. 6. Should have excellent SQL skills which includes knowledge of SQL Server DDLs to create the data models and complex SQL calculation scripts for manipulating data per business logic. 7. Should be adept at using tools to migrate existing data structures into SQL Server / Synapse for migration projects. 8. Should understand data quality concepts and write SQL scripts for specific for DQ checks. 9. Must have a working experience in Azure DevOps and CI/CD tools at each phase of the SDLC cycle. 10. Exposure to other Azure components like Blob storage, Logic Apps, AAS, Power BI will be beneficial. 11. Should be able to direct junior team members for proper design and development. 12. Should have good communication skills. Candidate if required, need to coordinate with Microsoft for issue resolutions. 13. Person should be communicative and digging as well into why / value / business question. 14. Should be proactive in terms of identifying and implementing performance and cost optimization initiatives.
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Job Segment: Database, SQL, Engineer, Technology, Engineering

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