Lyft
Engineering Manager – Data Platform, Lakehouse Foundation
- Toronto, Canada · On-site
- Salary not published
- Posted 4 months ago
From Lyft's careers page (Greenhouse)
What they ask for vs. your profile
- IcebergNot on your profile
- SnowflakeNot on your profile
- DatabricksNot on your profile
- Machine learningNot on your profile
- 3+ years of experienceVerified on your profile
Close the gap for free
Snowflake
- Free course
- Hands-On Essentials, Snowflake
- Book
- Snowflake: The Definitive Guide (Avila)
Databricks
- Free course
- Free self-paced training, Databricks Academy
- Book
- Learning Spark (Damji et al.)
Machine learning
- Free course
- Machine Learning Crash Course, Google
- Book
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Géron)
About the role
As the Engineering Manager for the Lakehouse Foundation team, you will lead a group of engineers responsible for the foundational data layer that all of Lyft's data systems and emerging AI workloads are built on.
Read the full description on Lyft's siteSimilar jobs
- Staff Data Infrastructure EngineerFaire42%42% matchToronto, Canada · On-siteSalary not published2 weeks ago
- Staff Data Infrastructure EngineerFaire42%42% matchNew York City, United States · On-siteSalary not published2 weeks ago
- Staff Data Analyst, Marketing1Password25%25% matchCanada · RemoteSalary not published3 months ago