Description

You will design and lead scalable data architectures and pipelines to support analytics and business intelligence.

Responsibilities

• Design and maintain scalable data pipelines and architectures.
• Lead data projects and enforce engineering best practices.
• Optimize data systems for analytics and reporting.
• Ensure data quality and system reliability in production environments.
• Focus on data optimization, workflow automation, and cloud-based data operations.

Required Skills

• 8+ years of IT experience with 5+ years focused on Python, PySpark, and SQL.
• Experience with data lakes using Iceberg format.
• Proficiency in ETL processes using Informatica.
• Hands-on experience with AWS services: S3, Glue, Redshift, Lambda, EMR, and Airflow.
• Working knowledge of Postgres and BASH/Shell scripting.
• Experience managing data quality and reliability.
• Background working with healthcare data.
• Experience leading data teams in an Agile development environment.

Key Skills

Education

Any Graduate