Description

You will build and maintain data pipelines and ETL processes to manage large-scale healthcare datasets.

Responsibilities

• Design and test data architectures to align with business requirements.
• Implement and optimize data models for efficient querying and reporting.
• Build and maintain data quality checks and monitoring processes.
• Support the creation of data solutions that enable analytical capabilities.
• Manage big data workflows using established ETL tools.

Required Skills

• 9+ years of overall IT experience.
• 4+ years of experience with Python scripting and PySpark for data processing.
• Strong SQL capabilities and hands-on experience with Postgres.
• Proficiency with AWS services including S3, Redshift, Lambda, EMR, Airflow, SNS, and Event Bridge.
• Experience managing big data using ETL tools like Informatica.
• Experience with BASH/Shell scripting.
• Ability to work within Agile methodologies.

Preferred Skills

• Knowledge of Data Lakehouse architecture and Iceberg format.
• Experience with Kafka, MuleSoft API, or healthcare data systems.

Key Skills

Education

Any Graduate