Previous Job
Previous
Software Engineer, Data Engineering
Ref No.: 22-04752
Location: San Francisco, California
Pay Rate : $ 65.69 - 83.94 /Hour
Job Description
At Lyft, community is what we are and it's what we do. It's what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring. 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 and 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, and storage, and 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 Lyft's 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, and launching scalable data pipelines to support Lyft's growing data processing and analytics needs. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Marketplace and 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 and data schema based on business and engineering needs Implement systems tracking data quality and consistency Develop tools supporting self-service data pipeline management (ETL) SQL and MapReduce job tuning to improve data processing performance Experience: 5+ years of relevant professional experience 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 of SQL Engine and 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