Denver, CO- Locals only || Azure Databricks Data Engineer

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Savi Technologies LLC

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May 12, 2026, 8:23:24 AM (yesterday) May 12
to idc.recru...@gmail.com

Please share with me suitable profiles.

Role: Azure Databricks Data Engineer
Location: Denver, CO- Locals only

Descriptions: 
"Key Responsibilities
Technical Onsite Lead
•       Act as the onsite lead for Azure Databricks data engineering initiatives.
•       Supervise and guide an offshore development team, assigning work, reviewing deliverables, and ensuring adherence to best practices.
•       Perform code reviews, design reviews, and solution walkthroughs for offshore-developed components.
•       Ensure alignment between offshore execution and onsite architecture, security, and business requirements.
•       Proactively identify risks, gaps, and improvement opportunities across the data platform.
•       Prior experience working in a hybrid onsite–offshore delivery model

Technical Responsibilities
•       Design, build, and orchestrate ETL/ELT pipelines using Azure Databricks.
•       Implement batch data ingestion and transformations using PySpark and Spark SQL.
•       Architect and maintain Lakehouse and analytical warehouse models (fact and dimension schemas) leveraging Delta Lake.
•       Ensure data quality, reliability, lineage, and governance across the data platform.
•       Collaborate with security and platform teams to enforce data access controls and best practices.
•       Experience on CI/CD pipelines using Git for Databricks "

"Required Skills & Experience
•       6-10 years of hands on experience in data engineering.
•       Strong, proven expertise in Azure Databricks and Delta Lake.
•       Advanced proficiency in SQL with a solid understanding of distributed data processing concepts.
•       Demonstrated experience leading, mentoring, or supervising data engineering teams.
•       Strong experience performing code reviews and solution design validations.
•       knowledge of data security, and access management (RBAC).
•       Preferred / Nice to Have Skills: Experience with Azure Synapse / Fabric, Azure Data Factory. "


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