Job Description: Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Tory Robinson
Max Bill Rate: $63.00
Location: Tampa FL
Duration: 6 Months
GBaMS ReqID: 10945312
100% ONSITE ROLE
Data Engineer with Databricks
Job Summary:
We are seeking a talented Data Engineer with hands-on experience in Databricks to join our dynamic data team. The ideal candidate will design, build, and optimize scalable data pipelines on the Databricks platform to support advanced analytics and data-driven decision-making. You will work closely with data scientists, analysts, and cross-functional teams to ensure the availability, quality, and security of data.
Key Responsibilities:
Design, develop, and maintain scalable ETL/ELT pipelines on the Databricks platform using Apache Spark.
Build and optimize batch and streaming data pipelines to process large volumes of structured and unstructured data.
Collaborate with data scientists and business stakeholders to understand data requirements and translate them into technical solutions.
Monitor and troubleshoot data processing workflows ensuring high reliability and performance.
Implement data governance, security, and compliance standards in data pipelines.
Optimize Databricks clusters for cost-efficiency and performance.
Maintain documentation related to data architecture and pipeline processes.
Skills: AI Agents
Experience Required: 4-6
or continue with email
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Tory Robinson
Max Bill Rate: $63.00
Location: Tampa FL
Duration: 6 Months
GBaMS ReqID: 10945312
100% ONSITE ROLE
Data Engineer with Databricks
Job Summary:
We are seeking a talented Data Engineer with hands-on experience in Databricks to join our dynamic data team. The ideal candidate will design, build, and optimize scalable data pipelines on the Databricks platform to support advanced analytics and data-driven decision-making. You will work closely with data scientists, analysts, and cross-functional teams to ensure the availability, quality, and security of data.
Key Responsibilities:
Design, develop, and maintain scalable ETL/ELT pipelines on the Databricks platform using Apache Spark.
Build and optimize batch and streaming data pipelines to process large volumes of structured and unstructured data.
Collaborate with data scientists and business stakeholders to understand data requirements and translate them into technical solutions.
Monitor and troubleshoot data processing workflows ensuring high reliability and performance.
Implement data governance, security, and compliance standards in data pipelines.
Optimize Databricks clusters for cost-efficiency and performance.
Maintain documentation related to data architecture and pipeline processes.
Skills: AI Agents
Experience Required: 4-6
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