**About the Role** We are seeking a strong and passionate data engineer with experience in large-scale system implementation, with a focus on complex data pipelines. The candidate should be able to design and drive large projects from inception to production. The right person will work with cross-functional businesses', and technology partners to gather requirements and translate them into a data engineering roadmap. Must be a great communicator, standout teammate, and a technology powerhouse. \-\-\-\- What You Will Do ---- Collaborate with engineering/product/analyst teams across tech sites to collectively accomplish OKRs to take Uber forward Enrich data layers to effectively deal with the next generation of products which are a result of Uber's big bold bets Design and build data pipelines to schedule & orchestrate a variety of tasks such as extract, cleanse, transform, enrich & load data as per the business needs \-\-\-\- Basic Qualifications ---- 5+ years total technical software engineering experience in one or more of the following areas: Programming and scripting language (e.g. Python, SQL, Java/Scala) Big data frameworks (e.g. Spark, Flink, MR, Presto), data modeling, and writing ETLs Designing end-to-end data solutions and architecture \-\-\-\- Preferred Qualifications ---- Strong SQL skills Strong in Data Warehousing and Data Modelling concepts Hands-on experience in Hadoop tech stack: HDFS, Hive, Oozie, Airflow, MapReduce, Spark. Programming languages - Python, Java, Scala, etc. Experience in building ETL Data Pipelines Performance Troubleshooting and Tuning Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. \*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [accommodations@uber.com](mailto:accommodations@uber.com).