Shape Lyft’s future as a Data Engineer specializing in Marketplace insights. Drive the evolution of data pipelines and ensure high-quality, timely data for impactful decision-making.
This hybrid position focuses on owning essential data models and collaborating with Analytics and Engineering teams to deliver innovative solutions. Responsibilities include optimizing data processing through SQL tuning and developing self-service management tools for ETL systems. You will participate in code reviews and maintain clean, efficient code to support team objectives and standards.
Key Responsibilities:
• Lead the development of resilient data pipelines
• Evolve data models to meet dynamic business requirements
• Implement monitoring systems to enhance data quality
• Create tools for self-service data management
• Collaborate to resolve operational blockers
Requirements:
• Minimum 3 years in data engineering roles
• Strong skills in SQL and data analysis
• Hands-...