Engineering Manager I

Uber is a technology company that offers ride-sharing, food delivery, and other services through its mobile app.
Data
Staff Software Engineer
Hybrid
5,000+ Employees
9+ years of experience
AI · Enterprise SaaS

Description For Engineering Manager I

Uber is seeking an Engineering Manager I to join their Data Engineering team in Hyderabad, India. This role involves managing a small team of 2-3 engineers while actively participating in designs and development. The ideal candidate will have 9+ years of technical software engineering experience, with expertise in programming languages like Python, SQL, and Java/Scala, as well as experience with big data frameworks. Key responsibilities include coding using SQL/Python/Scala, partnering with stakeholders to translate complex business or technical problems into end-to-end data tools and solutions, and managing a small team of engineers. The role requires strong skills in data analytics, data modeling, big data processing, data storage systems, and distributed systems. Uber offers a collaborative work environment and the opportunity to help build a future where everyone and everything can move independently. The company values diversity and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Last updated 5 months ago

Responsibilities For Engineering Manager I

  • Participates in Designs and Development
  • Coding using SQL/Python/Scala
  • Manages a small team (2-3) engineers
  • Partners with stakeholders to translate complex business or technical problems into end-to-end data tools and solution

Requirements For Engineering Manager I

Python
Java
Scala
  • 9+ years total technical software engineering experience
  • Experience in programming and scripting languages (e.g. Python, SQL, Java/Scala)
  • Experience with big data frameworks (e.g. Spark, Flink, MR, Presto)
  • Experience in data modeling and writing ETLs
  • Experience in designing end-to-end data solutions and architecture
  • Experience in data analytics
  • Experience in big data processing
  • Experience with data storage systems
  • Experience with distributed systems

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