Elevate your engineering career with Lyft as a Senior Data Engineer on the Mapping team. Your expertise will enhance routing accuracy and data pipeline quality through cutting-edge solutions.

In this pivotal role, you will drive the technical direction for offline experimentation and routing simulations at Lyft. Collaborate with engineers, data scientists, and product managers, utilizing cutting-edge technologies such as AWS, Spark, and Kubernetes. Your focus will be on leading data governance, building scalable pipelines, and fostering a culture of accountability and excellence.

Key Responsibilities:
• Own and manage core data pipelines for reliability
• Lead architecture for experimentation and simulation services




• Evolve data models and schemas to meet requirements
• Develop AI tools for self-service data pipeline management
• Write scalable, maintainable, and productive code

Requirements:
• Bachelor's degree in Computer Science or related field
• 5+ years in backend or data engineering
• Expertise in Spark and SQL tuning
• Experience with workflow orchestration in AWS
• Robust communication skills for cross-team collaboration

Bring your engineering skills to Lyft and contribute to transformative data solutions that impact millions.
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📌 Senior Data Engineer For Mapping At Lyft Ontario (Canada)
🏢 Socotra
📍 Canada