Elevate your data engineering career at Lyft, focusing on the Safety and Customer Care team. Drive analytics and AI interactions while enhancing data reliability in a hybrid work workplace.
As a Data Engineer, you will own data modeling and essential pipelines within Lyft's SCC team. Your contributions will directly support AI agents and associates, ensuring accurate performance metrics and significant efficiency improvements. You'll engage cross-functionally with various teams to harness Lyft's extensive data for business insights.
Key Responsibilities:
• Own and scale the core data pipeline for rapid growth
• Evolve data models and schemas based on needs
• Implement tracking for data quality and consistency
• Develop tools for self-service data pipeline management
• Enhance SQL and MapReduce job performance
Requirements:
• Bachelor's in Computer Science or related field
• 4+ years in data engineering with large-scale systems
• Proficient in Spark, Python, and SQL tuning
• Experience with AWS, Hadoop/S3, and Airflow
• Solid understanding of ETL and data warehousing
Apply your expertise in data management and engineering to make a tangible impact at Lyft.
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📌 Data Engineer for Safety and Customer Care (Ontario)
🏢 Lyft
📍 Ontario