Description

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

You will own the release pipeline, develop internal applications to meet technical governance standards, and implement security measures to satisfy cyber requirements. You will engineer data products within the distributed environment.

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