Senior Staff Engineer

5 days ago

Bengaluru, Karnataka, India Uber Full time ₹ 20,00,000 - ₹ 25,00,000 per year

About The Role
The
Data Platform team
is part of the Platform org which is based in Bangalore and is responsible for building Uber's Data Lake for the rest of the company. Team owns end to end charters for multiple batch data areas around storage (HDFS and Cloud Storage), Analytics (Hive, Spark), Pipeline Orchestration and Authoring, Data Quality, Metadata and Lineage, Jupyter Notebooks, Data LifeCycle Management, and Data Engineering. Team drives multiple global efforts around cloud migration and disaster recovery.

We have an eclectic team with a diverse set of backgrounds from companies such as Facebook, Google, Cloudera, Amazon, Microsoft, LinkedIn, Twitter, other startups and college grads from the top schools. The team is proud to be a part of the open source community in innovating and shaping such exciting technologies as we move forward. Uber, as a business, is also growing rapidly, and Data at Uber is at the heart of almost all products e.g. Pricing predictions, Uber Pool route optimizations, Uber Eats restaurant recommendations, fraud detection, storage and processing of data collected from Autonomous vehicles etc.

By solving these business problems you will not only be helping Uber but also have a front row seat to build and innovate the future Big Data systems and contribute them back to open source. This is an exciting time to be part of the Data team at Uber. Be sure to check out our engineering blog to learn more about the team.

What The Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----

Design systems architecture and deliver software and tools to advance the reliability of infrastructure including availability, performance, efficiency and scaling.

Provide technical leadership, influence and partner with fellow engineers to architect, design and build infrastructure that can stand the test of scale and availability, while reducing operational overhead.

Drive efficiencies in systems and processes through automation: capacity planning, configuration management, performance tuning, monitoring and root cause analysis.

Collaborate with platform, product and security engineering teams, and enable successful use of infrastructure and foundational services, and manage upstream and downstream dependencies

Basic Qualifications

  • Bachelor's degree (or higher) in Computer Science or related field.
  • 12+ years experience building large scale distributed software systems.
  • Solid understanding of Java for backend / systems software development.

Preferred Qualifications
Prior experience with big data systems - Spark, Hive, HUDI, Iceberg, Presto, Flink, Pinot, HDFS, YARN, etc preferred.

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