Description

You will lead technical implementations and data architecture strategies using the Databricks ecosystem.

Responsibilities

• Lead the design and development of data processing workflows.
• Architect and maintain scalable data lake environments.
• Oversee technical execution across AWS infrastructure.
• Guide the implementation of PySpark-based ETL pipelines.

Required Skills

• 8+ years of professional experience in data engineering or related roles.
• Extensive experience with Databricks.
• Strong proficiency in PySpark.
• Hands-on experience with AWS cloud services.
• Advanced Python programming skills.
• Deep understanding of Data Lake architecture.

Preferred Skills

• Degree in any graduate field.

Key Skills

Education

Any Graduate