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Job Description

Proteam Solutions is seeking a Senior Data Engineer to join onsite in Dublin, OH. This role focuses on designing, developing, and optimizing enterprise-scale data pipelines with Databricks, supporting analytics, reporting, and downstream applications. You will play a key part in building scalable Lakehouse architectures and ensuring reliable, high-quality data across critical data workflows. The position calls for deep Databricks expertise, strong data engineering fundamentals, and a collaborative approach with cross-functional teams.

Responsibilities

  • Design and build scalable ETL and ELT pipelines using Databricks
  • Develop PySpark and Spark SQL transformations
  • Construct Bronze, Silver, and Gold data layers following the Medallion Architecture
  • Implement Delta Live Tables, Workflows, and Unity Catalog
  • Optimize Spark jobs for scalability and performance
  • Design dimensional data models for analytical workloads
  • Implement data quality validations and monitoring
  • Collaborate with analytics, engineering, and architecture teams
  • Build reusable frameworks and automation
  • Support CI/CD deployment pipelines and Git-based development

Requirements

  • 7–10+ years of Data Engineering experience
  • Extensive hands-on Databricks experience
  • Strong PySpark programming
  • Advanced Spark SQL skills
  • Experience with Delta Lake
  • Experience implementing Medallion Architecture
  • Hands-on Delta Live Tables
  • Unity Catalog experience
  • Strong SQL optimization and performance tuning
  • Experience with AWS, Azure, or GCP
  • CI/CD and Git experience
  • Strong understanding of distributed data systems
  • Experience designing enterprise data models

Technologies

  • Databricks
  • PySpark
  • Spark SQL
  • Delta Lake
  • Medallion Architecture
  • Delta Live Tables
  • Unity Catalog
  • AWS
  • Azure
  • GCP
  • Git
  • CI/CD

Preferred Qualifications

  • Databricks certification
  • Experience with streaming data
  • Experience building reusable data frameworks
  • Experience with enterprise governance
  • Exposure to AI-assisted development tools including Databricks AI Genie

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