Description

You lead the design and implementation of data engineering solutions using Snowflake, AWS, and PySpark. You own the architecture and delivery of data pipelines.

This role is on-site.

Responsibilities

• Architect and build scalable data pipelines using Snowflake and AWS services.
• Develop and optimize ETL processes using PySpark for large-scale data processing.
• Apply data analytics principles to support BI initiatives and reporting needs.
• Apply healthcare domain knowledge to ensure data compliance and relevance.
• Mentor engineers and drive technical decisions for the data platform.

Required Skills

• 10+ years of relevant experience in data engineering or related fields.
• Deep expertise with Snowflake architecture and optimization.
• Strong hands-on experience with AWS cloud services.
• Proficiency in PySpark for data transformation and processing.
• Understanding of BI and data analytics project lifecycles.
• Knowledge of the healthcare domain is required.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree