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We are looking for a talented engineer to join the Data Movement Platform team, whose mission is to develop and support the technology that ingests petabyte-scale operational data from various sources at Uber. We are building the infrastructure that brings data into Uber’s Lakehouse in near-real time, which powers business decisions at Uber.
Job Responsibility:
Design, develop, test, and roll out scalable, reliable, operable, and performant data ingestion and movement platforms to make new data available faster for business analytical needs
Improve reliability and efficiency through design and automation: performance, scaling, observability, and monitoring
Engage and support stakeholders and collaborate across teams to ensure that the platform and ecosystem we’re building work seamlessly across different backends
Support your fellow teammates, and review the team's technical design, code, and documentation
Requirements:
Bachelor's degree (or higher) in Computer Science, Engineering, Mathematics, or a similar field
2+ years of software backend and distributed system development experience
Strong problem-solving and solid coding skills in one or more programming languages (e.g., Go, Java, C/C++, Python)
Good verbal and written communication skills
Nice to have:
Experience developing or operating high-load, large-scale distributed systems and building monitoring systems
Understanding or hands-on experience with big data infrastructure tools and software like Spark, HDFS, and Yarn. Real-time streaming technology, such as Apache Flink
Excellent written and verbal communication skills, including writing detailed technical documents
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan