Become a pivotal Data Engineering Expert at Swoop, focused on optimizing our healthcare engagement platform. Shape the future of patient care through innovative data solutions in a dynamic workplace. As a Data Engineering Expert, you will be responsible for managing our end-to-end data platform.

This role requires expertise in production data pipeline creation using cutting-edge technology like PySpark and Kinesis to enhance the speed and efficiency of our operations. You will work closely with various teams to translate complex data needs into practical solutions while emphasizing security and compliance in all processes. Key Responsibilities:
Manage data storage, transformation, and ingestion methodologies
Create productive batch and streaming pipelines to harness complex datasets




Enhance performance and reliability of data interactions
Conduct thorough investigations of any data issues impacting operations
Assist in empowering other teams through training on best practices Requirements:
Minimum 5 years in data engineering experience
Deep knowledge of Python and SQL
Familiarity with AWS services and infrastructure design
Solid grasp of database performance and optimization techniques
Experience with leading AI initiatives in data systems Help redefine healthcare engagement with your data engineering expertise at Swoop.

📌 Data Engineering Expert At Swoop Toronto
🏢 NimbleRx
📍 Toronto