Job Description

Your 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.

Your Profile:

• Hands‑on experience with Databricks, Apache Spark, and PySpark.
• Strong knowledge of SQL, Python, and data modeling principles.
• Experience w...