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Lyft // on-demand ride-sharing
 
Engineering, Full Time    San Francisco, CA    Posted: Friday, February 28, 2020
 
   
 
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JOB DETAILS
 

At Lyft, our mission is to improve peoples lives with the worlds best transportation. To do this, we start with our own community by creating an open, inclusive, & diverse organization.

Here at Lyft, Data is the only way we make decisions. It is the core of our business, helping us create an transportation experience for our customers & providing insights into the effectiveness of our product launch & features.

As a Data Engineer at Lyft, you will be a part of an early stage team that builds the data transport, collection, & storage, & exposes services that make data a first-class citizen at Lyft. We are looking for a Data Engineer to build a scalable data platform. You'll have ownership of our core data pipeline that powers Lyfts top line metrics; You will also use data expertise to help evolve data models in several components of the data stack; You will help architect, building, & launching scalable data pipelines to support Lyfts growing data processing & analytics needs. Your efforts will allow access to business & user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Marketplace & many others.

You will report to a Data Engineering Manager.

Responsibilities:

  • Owner of the core company data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
  • Evolve data model & data schema based on business & engineering needs
  • Implement systems tracking data quality & consistency
  • Develop tools supporting self-service data pipeline management (ETL)
  • SQL & MapReduce job tuning to improve data processing performance

Experience:

  • 5+yearsofrelevantprofessionalexperience
  • Experience with Hadoop (or similar) Ecosystem (MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet)
  • Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
  • Good understanding ofSQL Engine & able to conduct advanced performance tuning
  • Strong skills in scripting language (Python, Ruby, Bash)
  • 1+ years of experience with workflow management tools (Airflow, Oozie, Azkaban, UC4)
  • Comfortable working directly with data analytics to bridge Lyft's business goals with data engineering

Benefits:

  • Great medical , dental, & vision insurance options.
  • In addition to 11 observed holidays , salaried team members have unlimited paid time off, hourly team members have 15 days paid time off.
  • 401(k)plantohelpsaveforyourfuture
  • 18weeksofpaidparentalleave.Biological,adoptive,andfosterparentsarealleligible
  • Monthlycommutersubsidytocoveryourtransittowork & 20% of all Lyft rides

Lyft is an Equal Employment Opportunity employer that proudly pursues & hires a diverse workforce. Lyft does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Lyft also strives for a healthy & safe workplace & strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance & other similar state laws & local ordinances, & its internal policy, Lyft will also consider for employment qualified applicants with arrest & conviction records.

 
 
 
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