What are the responsibilities and job description for the Data Engineer (Cincinnati) position at ExecutivePlacements.com?
Title: Azure Data Engineer (Only W2)
Location: Cincinnati, OH (3 days on-site required)
Duration: 1 Year Contract (potential for conversion/extension)
We need a strong Azure Data Engineer with expertise in Databricks, including Unity Catalog experience), strong Pyspark and understanding of CI/CD and Infrastructure as Code (IaC) using Terraform.
Requirements
7 years of experience as a Data Engineer
Hands-on experience with Azure Databricks, Spark, and Python
Experience with Delta Live Tables (DLT) and Databricks SQL
Strong SQL and database background
Experience With Azure Functions, Messaging Services, Or Orchestration Tools
Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog)
Experience monitoring and optimizing Databricks clusters or workflows
Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms
Experience with Terraform for cloud infrastructure provisioning
Experience with GitHub and GitHub Actions for version control and CI/CD automation
Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior)
Familiarity with SDLC and modern engineering practices
Ability to balance multiple priorities, work independently, and stay organized
Location: Cincinnati, OH (3 days on-site required)
Duration: 1 Year Contract (potential for conversion/extension)
We need a strong Azure Data Engineer with expertise in Databricks, including Unity Catalog experience), strong Pyspark and understanding of CI/CD and Infrastructure as Code (IaC) using Terraform.
Requirements
7 years of experience as a Data Engineer
Hands-on experience with Azure Databricks, Spark, and Python
Experience with Delta Live Tables (DLT) and Databricks SQL
Strong SQL and database background
Experience With Azure Functions, Messaging Services, Or Orchestration Tools
Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog)
Experience monitoring and optimizing Databricks clusters or workflows
Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms
Experience with Terraform for cloud infrastructure provisioning
Experience with GitHub and GitHub Actions for version control and CI/CD automation
Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior)
Familiarity with SDLC and modern engineering practices
Ability to balance multiple priorities, work independently, and stay organized