Data Engineer II

We are seeking a strong and passionate data engineer with experience in large scale system implementation, focusing on complex data pipelines. The ideal candidate must be able to design and drive large projects from inception to production, working with stakeholders, analysts, and scientists to gather requirements and translate them into a data engineering roadmap. The role requires excellent communication skills, teamwork, and technical expertise.

Responsibilities include:

• Collaborating with engineering, product, and analyst teams across tech sites to accomplish OKRs and drive Uber forward.
• Enriching data layers to effectively deal with the next generation of products resulting from Uber's big bold bets.
• Designing and building data pipelines to schedule & orchestrate various tasks such as extracting, cleansing, transforming, enriching & loading data as per business needs.

Key qualifications:

• Strong SQL skills
• Expertise in Data Warehousing and Data Modelling concepts
• Hands-on experience with Hadoop tech stack: HDFS, Hive, Oozie, Airflow, MapReduce, Spark
• Proficiency in programming languages such as Python, Java, Scala
• Experience in building ETL Data Pipelines
• Skills in performance troubleshooting and tuning

Uber welcomes people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. The company values curiosity, passion, and collaborative spirit.

Note: This role requires spending at least half of the work time in the assigned office unless formally approved to work fully remotely. For certain roles, such as those based at green-light hubs, employees are expected to be in-office 100% of the time.