Data Engineer in Lyft

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.Here at Lyft, Data is the only way we make decisions. It is the core of our business, helping us create a 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 will proactively propose new ideas, evaluate multiple approaches and choose the best one based on fundamental qualities and supporting data. Communicate highly technical problems, working along with our cross-functional team. 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 various teams such as Analytics, Data Science, Engineering, and many others.Responsibilities:Own of the core company data pipeline, be responsible for scaling up data processing flow to meet the rapid data growth at LyftEvolve data model and data schema based on business and engineering needsImplement and adopt systems tracking data quality and consistencyPropose and develop tools supporting self-service data pipeline management (ETL)SQL and MapReduce job tuning to improve data processing performanceDrive the DE team tech roadmap and align it to the team and stakeholdersBuild well-crafted, well-tested, readable, maintainable code with data infrastructure cost and scalability in mind Participate in code reviews to ensure code quality and distribute knowledgeParticipate in on-call rotations to ensure high availability and reliability of workflows and dataUnblock, support and communicate with internal & external partners to achieve resultsExperience:5+ years of relevant professional experienceStrong experience with SparkExperience with Hadoop (or similar) Ecosystem, S3, DynamoDB, MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, ParquetStrong skills in a scripting language (Python, Bash, etc)Experience of driving building complex data models and pipelinesProficient in at least one of the SQL languages (MySQL, PostgreSQL, etc)4+ years of experience with workflow management tools (Airflow or similar)Experience of working directly with cross-functional data analytics, data scientists, and engineering teams to bridge Lyft’s business goals with data engineeringPreferred experience of building and maintaining customer care related data tables as a Data Engineer for large organizationsBenefits:Professional and stable working environment.The latest technology and equipment you need.English classes with native speakers.Ppotential to work remotely, including out of country (dependent on work authorizations). 28 calendar days for vacation and up to 5 paid days off. 18 weeks of paid parental leave. Biological, adoptive and foster parents are all eligible. Mental health benefits. Family building benefits. This role is fully remote in Ukraine, candidates for this role must be based in Ukraine. Show more Show less Position level Senior secondary level Type of employment Full time Job duties Information technologies Industries Ground passenger transportation