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+ 1 more
Locations
Requirements
Bachelor's degree required 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 Participate in code reviews Support communication with partners
Benefits
Health and dental coverage Child care and pet benefits Health Care Savings Account Paid time off for new parents Subsidized commuter benefits