Lyft7 дней назад

Data Engineer

Зарплата не указана
Toronto

Обязанности

  • 01Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
  • 02Evolve data model and data schema based on business and engineering needs
  • 03Implement systems tracking data quality and consistency
  • 04Develop tools supporting self-service data pipeline management (ETL)
  • 05SQL and MapReduce job tuning to improve data processing performance
  • 06Write well-crafted, well-tested, readable, maintainable code
  • 07Participate in code reviews to ensure code quality and distribute knowledge
  • 08Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions

Требования

  • 01Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
  • 024+ years of professional experience in data engineering, ideally with large-scale distributed systems
  • 03Strong skills in Spark, Python (or similar scripting language), and SQL performance tuning
  • 04Experience with AWS, Hadoop/S3, Hive, Presto, Airflow, and related tools
  • 05Solid understanding of ETL processes, workflow orchestration, and data warehousing
  • 06A collaborative mindset—you’re comfortable working across teams to solve real-world problems

Условия

  • 01Extended health and dental coverage options, along with life insurance and disability benefits
  • 02Mental health benefits
  • 03Family building benefits
  • 04Child care and pet benefits
  • 05Access to a Lyft funded Health Care Savings Account
  • 06RRSP plan with company match to help save for your future
  • 07In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy
  • 08Hourly team members get 15 days paid time off, with an additional day for each year of service
  • 09Lyft is proud to support new parents with 18 weeks of paid time off
  • 10Subsidized commuter benefits and Lyft ride credits
  • 11This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays
  • 12Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year
  • 13The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits