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Data Engineer

Summary

The Data Engineer will build and maintain scalable data pipelines and ETL processes using Azure Databricks and SQL. This role focuses on data migration, pipeline optimization, and implementing CI/CD practices within an agency contract setting.

Responsibilities: Creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. To build and maintain scalable pipelines on Azure Databricks, with strong SQL and relational database expertise and solid DevOps/SDLC practices from design through deployment. Develop data connectors and pipelines to onboard agency datasets efficiently

Requirement : Degree in Computer Science with 3 to 5 years hands on experience in Databricks Hands-on experience building data pipelines and notebooks in Azure Databricks Strong SQL skills - complex queries, stored procedures, performance tuning Extensive experience working with relational databases (design, querying, optimization) Working knowledge of Delta Lake and Lakehouse architecture Experience with Azure Data Factory or similar orchestration tools Familiarity with Azure DevOps and CI/CD pipelines Solid understanding of data modeling concepts Strong analytical and troubleshooting skills for pipeline/query performance Comfortable leveraging Gen AI tools to boost day-to-day productivity Good communication skills for cross-functional collaboration

Shortlisted candidates will be offered a 1 Year agency contract employment License No : 12C6060

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