Description

You will build and manage data pipelines within the AWS ecosystem.

This role is on-site.

Responsibilities

• Design and implement ETL workflows using AWS services.
• Manage and operate containerized services including EC2, EKS, ECS, and ECR.
• Develop data processing logic using Python and SQL.
• Maintain and optimize data infrastructure utilizing AWS data services.
• Apply domain knowledge in Life Science Pharma and Commercial Operations.

Required Skills

• 10+ years of professional experience.
• Proficiency in AWS services including Glue, Redshift, S3, Lambda, and MWAA.
• Strong command of SQL and Python.
• Experience with virtualization and containerization technologies (EC2, EKS, ECS, ECR, Fargate).
• Domain knowledge in Life Science Pharma and Commercial Operations is required.

Preferred Skills

• AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect certification.

Key Skills

Education

Any Graduate