Lyft

Data Engineer, Pricing

Lyft

Overview

Data Engineer responsible for building data pipelines to support pricing strategies.

Ideal candidate should have 2+ years of experience with strong skills in Spark and data engineering.

108k cad / yearhybridmidEnglishAWSKubernetesApache AirflowSparkHadoopS3HiveSQLPython

Locations

  • Canada, Ontario, Toronto

Requirements

  • Bachelor's degree required
  • 2+ years of experience
  • Strong experience with Spark
  • Experience with Hadoop ecosystem
  • Strong skills in a scripting language
  • Good understanding of SQL Engine
  • Proficient in SQL languages
  • Experience with workflow management tools

Responsibilities

  • Own pricing data pipeline
  • Evolve data model and schema
  • Implement data quality tracking
  • Develop self-service data management tools
  • Tune SQL and MapReduce jobs
  • Write maintainable code
  • Participate in code reviews
  • Support communication with partners

Benefits

  • Health and dental coverage
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • Health Care Savings Account
  • RRSP plan
  • Flexible paid time off
  • Paid time off for new parents
  • Subsidized commuter benefits