The opportunity
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What you'll do
Owner of the core data pipeline, responsible for scaling up data processing: flow to meet the rapid data growth at Lyft
Evolve data model and data schema based on business and engineering needs
Implement systems tracking data quality and consistency
Develop tools supporting self-service data pipeline management (ETL)
SQL and MapReduce job tuning to improve data processing performance
Write well-crafted, well-tested, readable, maintainable code
What they're looking for
- Participate in code reviews to ensure code quality and distribute knowledge
- Collaborate cross-functionally with product, engineering, data science, and: marketing teams to understand business problems and align on prioritization and solutions
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
- + years of professional experience in data engineering, ideally with large-scale distributed systems.
