Description

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

Responsibilities

• Architect, design, code, and implement cloud-based Spark applications.
• Support existing code by enhancing, troubleshooting, and maintaining it per requirements.
• Maintain consistent practices for source code management in GitHub.
• Comply with established CI/CD practices and participate in creating new CI/CD methods.
• Lead innovation by exploring, investigating, recommending, and implementing data-centric technologies.

Required Skills

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

Key Skills

Education

Any Graduate