Description

You will build data pipelines, data products, and data assets for a next-generation data ecosystem.

Responsibilities

• Build and maintain scalable data pipelines and data assets.
• Develop and improve internal applications to meet technical governance standards.
• Ensure all applications comply with cybersecurity requirements.
• Design data products within a large-scale ecosystem.

Required Skills

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

Preferred Skills

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

Key Skills

Education

Any Graduate