Join Lyft as a Data Engineer on the Mapping team, where you'll enhance route quality and travel time accuracy. This hybrid position involves building scalable data pipelines and collaborating with top engineers and data scientists.
As a Mapping Data Engineer, you'll leverage your skills to influence Lyft's growth by implementing effective data solutions. You'll own the core data pipelines, develop effective ETL tools, and ensure high-quality data processing. This role requires proficiency with technologies like Spark and SQL, and the ability to communicate technical concepts clearly.
Key Responsibilities:
• Build and scale core data pipelines for mapping
• Manage SLAs for data processing and datasets
• Evolve data models to meet business needs
• Develop tools for self-service data management
• Conduct code reviews to maintain quality standards
Requirements:
• Bachelor's in Computer Science or related field
• 4+ years in data engineering roles
• Strong k...