Data Engineer

2 semanas atrás

São Paulo, Brasil Uber Tempo inteiro
lt;p>About the Team

The Data Engineering team focuses on building core Business Intelligence and Data Warehousing Solutions for multiple business verticals at Uber, like Risk, Money, Payments, Finance, and Safety. The team works across multiple Uber areas, including Risk, Fraud, Safety, Insurance, Finance, and AdTech Marketing teams.

Our expertise is in large-scale distributed batch processing, analytics, data modeling, data visualization, and big data. Over the last few years, we have built data solutions from the ground up, focusing on centralizing, scaling, and simplifying data consumption and access. Our team is also working on multiple data engineering initiatives (like optimizing compute and storage consumptions) to help every team at Uber bring down CPU and storage costs. In the last 12 months alone, these initiatives have helped save more than $10M in hardware costs at Uber. We use Hadoop/HDFS, Spark, Kafka, Samza, Cassandra, Hive and more

What You'll Do:

This position involves collaborating with stakeholders to transform intricate business or technical issues into comprehensive data tools and solutions like pipelines, models, and tables. Additionally, the role involves spearheading team initiatives to create and implement extensive data systems such as databases, data warehouses, and big data systems. These systems will be utilized for various analytics and business applications.

Minimum qualifications:

  • Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field OR +3 years of total software engineering experience in one or more of the following areas:

  • Programming language (e.g. C, C++, Java, Python, or Go)

  • Note the 1-year total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these).  The year of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated.

Technical skills:
  • Advanced English (conversation)
  • Scalability engineering
  • Distributed systems
  • Data-driven architecture and systems design.

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 .

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