Lyft Data Engineer, Hybrid Mapping Role
Lyft • toronto, Canada
Role Description
Elevate your career as a Data Engineer with Lyft's Mapping team. This hybrid position focuses on building scalable data pipelines and collaborating to improve routing and travel time accuracy.
As a Data Engineer at Lyft, you will work closely with engineers and data scientists to enhance the efficiency of our mapping systems. Your responsibilities include managing data pipelines, conducting SQL tuning, and evolving data schemas to meet the needs of the business. Leveraging tools like Spark and AWS is essential for this impactful role within the organization.
Key Responsibilities:
• Own and scale data pipelines for mapping tasks
• Develop widespread understanding in managed systems
• Create effective data self-service tools
• Maintain high code quality through reviews and teamwork
• Communicate needs with internal and external partners
Requirements:
• Bachelor's degree in a relevant field
• Over 4 years of experience in data engineering
• Strong skills i...
As a Data Engineer at Lyft, you will work closely with engineers and data scientists to enhance the efficiency of our mapping systems. Your responsibilities include managing data pipelines, conducting SQL tuning, and evolving data schemas to meet the needs of the business. Leveraging tools like Spark and AWS is essential for this impactful role within the organization.
Key Responsibilities:
• Own and scale data pipelines for mapping tasks
• Develop widespread understanding in managed systems
• Create effective data self-service tools
• Maintain high code quality through reviews and teamwork
• Communicate needs with internal and external partners
Requirements:
• Bachelor's degree in a relevant field
• Over 4 years of experience in data engineering
• Strong skills i...