What the Candidate Will Need / Bonus Points
---- What the Candidate 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)
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Big data frameworks (e.g. Spark, Flink/Streaming, 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,
- Experience in building ETL Data Pipelines
- Performance Troubleshooting and Tuning
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world 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.