Databricks Engineer

URGENT REQ: Senior Databricks Developer (Greenplum Migration)

Client: OpenKyber

Location: Chicago, IL (Hybrid 2 Days Onsite per Week)

Start Date: August 10, 2026

Employment Type: Contract

We are seeking an experienced Senior Databricks Developer to join a high-impact enterprise data modernization initiative for our client, OpenKyber. The ideal candidate will have proven experience migrating large-scale data platforms from Greenplum to Databricks and a strong background in cloud-based data engineering.

• Lead the migration of enterprise data warehouses from Greenplum to the Databricks Lakehouse Platform.
• Design, develop, and optimize scalable ETL/ELT pipelines using Databricks, Apache Spark, and PySpark.
• Analyze existing Greenplum databases, SQL scripts, and stored procedures, and transform them into efficient Databricks solutions.
• Build robust data ingestion, transformation, validation, and reconciliation frameworks.
• Optimize Spark jobs and Databricks clusters for performance, scalability, and cost efficiency.
• Collaborate with architects, business analysts, and cross-functional teams to deliver high-quality data solutions.
• Ensure data quality, governance, security, and compliance throughout the migration lifecycle.
• Participate in architecture discussions, code reviews, troubleshooting, and production support.
• Create technical documentation, migration strategies, and implementation best practices.

• 7+ years of Data Engineering or Big Data development experience
• Strong hands-on expertise with Databricks
• Extensive experience with Apache Spark and PySpark
• Mandatory: Experience migrating Greenplum to Databricks
• Advanced SQL development and query optimization skills
• Experience with Delta Lake, Unity Catalog, and Databricks Workflows
• Experience building enterprise-scale ETL/ELT pipelines
• Knowledge of Azure or AWS cloud platforms
• Familiarity with Git, CI/CD, and Agile development methodologies
• Excellent communication, collaboration, and problem-solving skills

• Cloud data warehouse migration experience
• Data governance and security best practices
• Experience with orchestration tools such as Airflow or Azure Data Factory

For applications and inquiries,