Data Engineer (Databricks)
Core
Design and develop scalable data pipelines, monitor and optimize data workflows, and implement data governance within client environments.
Role type
Data Engineer (Databricks)
Builds
Data pipelines and analytics applications
Domain
Data & Analytics
Deliverable
production ML models | infrastructure
Required skills
Python, PySpark, data modeling, ETL tools, data integration, Databricks, data governance, SQL (implied by data processing)
Preferred skills
User support and training experience
Technologies
Databricks, Python, PySpark
Responsibilities
Design and develop scalable data pipelines, Collaborate with stakeholders to understand data needs, Monitor and optimize data workflows, Implement best practices for data governance, Document data architecture and processes, Troubleshoot data processing issues
Seniority
Mid-level, hands-on IC
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