Description

You will own the design and implementation of data solutions using Databricks.

Responsibilities

• Design end-to-end data pipelines and architectures on Databricks.
• Develop ETL/ELT processes to ingest, transform, and load data from various sources.
• Configure and manage Databricks clusters and associated platform components.
• Ensure solutions comply with data governance, security, and privacy regulations.
• Stay current with the latest Databricks features and industry data trends.

Required Skills

• 5+ years of professional experience in data engineering or architecture.
• Strong proficiency in Python, Scala, or SQL.
• Hands-on experience with Databricks and Unity Catalog.
• Experience with cloud platforms, specifically Azure, AWS, or GCP.
• Solid knowledge of data warehousing concepts.
• Proven ability to build and manage ETL/ELT pipelines.
• Experience with big data processing frameworks.
• Strong analytical and problem-solving capabilities.

Key Skills

Education

Any Gradute