2 days ago
Remote, UkraineSenior
Responsibilities
- Own core data pipelines and ensure their resilience, performance, timely delivery, data quality, and support for new features.
- Evolve data models and schemas to meet business and engineering requirements.
- Implement systems to monitor and improve data quality and consistency.
- Develop self-service tools for ETL pipeline management and perform SQL tuning.
- Contribute to the Data Engineering technical roadmap.
- Write clean, tested, maintainable, scalable, and cost-efficient code.
- Conduct code reviews and support knowledge sharing.
- Participate in on-call rotations to maintain workflow and pipeline availability and reliability.
- Collaborate with internal and external partners to remove blockers and deliver results.
Requirements
- 5+ years of professional data engineering experience as a hands-on individual contributor delivering features end to end.
- Experience collaborating with analytics, data science, product, and engineering stakeholders to align data solutions with business objectives.
- Proficiency in data validation, analysis, and visualization.
- Experience designing complex data models and resilient data pipelines, including analytical data modeling.
- Expertise in advanced SQL and implementing solutions involving complex business logic.
- Strong algorithmic foundation and hands-on coding skills in Python, Java, or similar languages.
- Deep understanding of MPP systems and hands-on ETL experience with Spark or similar technologies.
- Familiarity with data system design principles for data-intensive applications.
- Practical experience with workflow management tools such as Airflow or Flyte.
Benefits
- Fully remote role, with employees required to live and work in Ukraine.
- Potential to work remotely from outside the country depending on work authorization.
- 28 calendar days of vacation and up to 5 paid sick days.
- 18 weeks of paid parental leave for biological, adoptive, and foster parents.
- Mental health benefits.
- Family building benefits.
- Professional working environment and current technology and equipment.
Tech Stack
Categories
Data Engineering
About Lyft
Lyft is a NASDAQ-listed transportation marketplace that connects riders with drivers and offers bike and scooter rentals in one app. Founded in 2012 and headquartered in San Francisco, it operates across the U.S. and parts of Canada. Its revenue comes from service fees on rides and rentals, enterprise programs, and consumer subscriptions such as Lyft Pink.