Description

You will architect, design, and implement enterprise-level data solutions on AWS.

This role is on-site.

Responsibilities

• Architect, design, code, and implement cloud-based Spark applications.
• Enhance, troubleshoot, and maintain existing code to meet requirements.
• Manage source code in GitHub and adhere to CI/CD practices.
• Lead innovation by investigating and implementing data-centric technologies.

Required Skills

• 10+ years of experience in development, design, and architecture implementation.
• 5-10 years of experience with Python and PySpark.
• 8+ years of experience on AWS, specifically Glue, S3, and Lambda.
• Strong expertise in SQL and hands-on Data Warehousing experience.
• Proficiency in core Python programming and Spark architecture.
• Experience with DevOps and CI/CD tools such as Jenkins, Cloudbees, or Please Build.
• Solid experience with Git for version control and branching strategies.
• Familiarity with Agile methodology, preferably Jira.
• Knowledge of the healthcare domain.

Key Skills

Education

Any Graduate