About this role

Design, build, and maintain data pipelines and ETL processes using Databricks and Apache Spark.
Optimize data workflows for performance, scalability, and cost efficiency.
Implement data Lakehouse architecture and manage data ingestion from multiple sources.
Collaborate with data scientists and analysts to enable advanced analytics and machine learning workloads.
Ensure data quality, governance, and security across all data assets.
Monitor and troubleshoot Databricks clusters, jobs, and workflows.
Integrate Databricks with cloud services (AWS, Azure, or GCP) and other enterprise systems.
Document processes, standards, and best practices for data engineering.

Data Engineer

Key skills