Description

You will build and maintain end-to-end data lakes and pipelines within a hybrid cloud environment.

This role is on-site.

Responsibilities

• Design, develop, and support data pipelines to enable advanced analytics.
• Build new services in AWS using serverless or container-based architectures.
• Schedule data pipelines using Apache Airflow.
• Implement CI/CD for data pipelines and microservices.

Required Skills

• 5+ years of experience building data lakes using AWS (S3, Glue, Athena, Redshift).
• Strong Python programming background.
• Advanced SQL knowledge.
• Hands-on experience with DevOps using Jenkins and AWS CDK.
• Experience with Docker and Kubernetes.
• Practical knowledge of ETL processes and Data Warehousing (DWH).
• Experience with CI/CD workflows.
• Working knowledge of Agile/Scrum.

Key Skills

Education

ANY GRADUATE