Description

Build and maintain scalable data pipelines and assets for a distributed data ecosystem.

Responsibilities

• Build and maintain scalable data pipelines and data assets.
• Develop and improve internal applications to meet technical governance standards.
• Implement security measures to satisfy cyber requirements.
• Engineer data products within a distributed data ecosystem.

Required Skills

• 7+ years of professional experience in data engineering.
• Strong background in ETL processes.
• Hands-on experience with AWS services, specifically Lambda and EMR.
• Proficiency in Python.
• Experience with Spark.
• Expertise in SQL.
• Experience using Docker for containerization.

Preferred Skills

• Experience with Databricks and Glue.
• Knowledge of GraphQL.

Key Skills

Education

Any Graduate