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Senior Data Engineer

Lyft

Toronto · Hybrid Full-time Senior 2d ago

About the role

Shape the future of rideshare mapping as a Senior Data Engineer. Focus on optimizing data pipelines and enhancing data quality for enriched user experiences in a hybrid setting.

Join a dedicated team that drives the technical backbone for the Pickup, Places, and Search initiatives. Your role will encompass developing and maintaining data flows while collaborating with engineering, analytics, and product teams. You'll work on high-impact projects that influence real-world journeys and connect riders and drivers effectively.

Key Responsibilities:

  • Manage core data processing pipelines
  • Continuously improve data models as needed
  • Monitor data quality and develop enhancement systems
  • Build efficient self-service data tools
  • Review code to ensure quality and share knowledge

Requirements:

  • Minimum 5 years in data engineering or related area
  • Proficiency in SQL; experience with Spark or Trino
  • Expertise in building and optimizing ETL processes
  • Familiarity with workflow management systems
  • Skills in Python or Bash scripting

Use your expertise to innovate and enhance the mapping experience, driving success in a dynamic, collaborative team.

Skills

BashETLPythonSparkSQLTrino

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