Data Engineer: Build Scalable Pipelines for Wellness Retail
Summary
Build and maintain scalable data pipelines for a wellness retail company using Python, SQL, and cloud platforms like AWS and Databricks to power analytics and decision-making.
Michael Page is seeking a Data Engineer to build and maintain scalable data pipelines powering health-focused retail decisions. You will work with a mission-driven team to deliver reliable data for analytics and decision making.
The role requires Python, SQL, and DAX; experience with data modeling, ETL, and cloud platforms like AWS and Databricks. You will collaborate with data analysts and scientists, document processes, and evaluate new tools to enhance capabilities.