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Sr Software Engineer - Data Engineering

Data, Engineering em Sao Paulo, Brazil

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

 

 

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.

 

About the Role

 

 

As a Data Engineer on the Safety Engineering team in Brazil, you will be an early member of Uber’s first development center in LatAm. The work you do will initially focus on advanced technologies to improve safety around the world, such as advanced telematics, machine learning, high scale distributed systems, real time data processing and mobile development, among others.

 

 

What You’ll Do
  • The candidate will work with analysts to gather requirements and translate them into data engineering roadmap.
  • Build high quality end-to-end data solutions in agile environment from requirements to production.
  • Design and drive large projects from inception to production.
  • Work in large scale system implementation focused on complex data pipelines
  • Partner with fellow engineers to innovate, architect, develop and scale Safety’s product and platform solutions that impact millions of Uber riders and drivers
  • Work with Product Managers and Designers to nail core Safety user experiences
  • Integrate highly reliable safety-aware decisioning engine with Uber’s core dispatch system
  • Mentor and support your fellow teammates, as well as help review the team’s technical design, code and documentation
  • Help take Uber to the next level as a world class engineering team

 

What You’ll Need
  • Experience working as Data Engineering with large-scale data warehousing architecture and data modeling
  • Proficiency in SQL and in Spark/MapReduce development and expertise with data processing (ETL) technologies 
  • Knowledge of programming languages such as Java, Scala, Python 
  • Fluent English
  • Excellent record for shipping high-quality product features on schedule
  • Experience in working on large-scale distributed systems. We use Hadoop/HDFS, Spark, Kafka, Samza, Cassandra
  • Data-driven architecture and systems design
  • Must be a great communicator, team player and a technical powerhouse
  • We really appreciate who is motivated and passionate about technology, learning new skills and working on high-impact products

 

About the Team

The Safety Engineering team uses real-time telematics and motion sensing technologies along with multi-faceted machine learning algorithms and user-facing mobile products to reduce and prevent unsafe driving and behavior on the Uber platform. The team is building low-latency data streaming infrastructure that ingests terabytes of data daily before applying statistical modeling and signal processing algorithm, NLP auditing as well as facial biometrics recognition solutions. Our work touches all parts of the Uber experience from dispatch to on-trip and post-trip, as well as Uber's entire ecosystem ranging from our rides business to other newer Uber marketplaces, and ventures.

 

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