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 environment.

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 effective 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
• Strong 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.
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📌 Data Engineering Expert at Swoop (Ontario)
🏢 NimbleRx
📍 Ontario