Azure Databricks Data Engineer
Location: FULLY ONSITE- Denver, CO- ONLY
Duration: 6 months
Role: Azure Databricks Data Engineer
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. "
Keyword:
Skills: Digital : Databricks~Digital : PySpark~Azure Data Factory~PL/SQL
Experience Required: 8-10
Duration: 6 months
Role: Azure Databricks Data Engineer
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. "
Keyword:
Skills: Digital : Databricks~Digital : PySpark~Azure Data Factory~PL/SQL
Experience Required: 8-10
Easy Apply