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.

Required Skills

• 8+ years of IT experience.
• 5+ years of experience with Python, PySpark, and SQL for big data processing.
• Experience with data lakes using Iceberg format.
• Proficiency in ETL processes using Informatica.
• Hands-on experience with AWS services including S3, Glue, Redshift, Lambda, EMR, and Airflow.
• Experience with Postgres and BASH/Shell scripting.
• Background working with healthcare data.
• Experience leading data teams.
• Practical experience in Agile development.

Key Skills

Education

Any Graduate