Staff Data Engineer

The Data Intelligence Platform team is responsible for designing core foundational data sets critical to understanding customers needs and helping business teams make the right decisions in solving these critical problems. The team s mission is to ensure high quality for all the critical data flows for analytics purposes across all verticals in Uber and enable faster implementation of data needs by building standardized tools and frameworks for accurate analysis. We are currently revamping all critical analytical data flows across domains to build high-quality data sets and frameworks used across Uber.

 

Basic Qualifications

\* A proven track record of excellence at the Staff Engineer level or higher within a leading technology company

\* Degree in Computer Science with at least 10+ years of industry experience and 5+ years in the Data domain.

\* Expertise in Big data technologies like Spark, Hive, Flink, Kafka, SQL and NoSQL databases,

\* In-depth, hands-on experience doing data modeling, query optimizations and work in Java, Scala, Python, and related technologies

\* Exceptional communication skills with the ability to engage effectively with both technical and non-technical stakeholders

\* Good problem-solving and analytical skills

 

Preferred Qualifications

\* Extensive experience in data engineering and working with Big data

\* Experience with ETL or Streaming data and one or more of, Kafka, HDFS, Apache Spark , Apache Flink , Hadoop

\* Experience backend services and familiarity with one of the cloud platform ( AWS/ Azure / Google cloud)

 

What the Candidate Will Do

\* Responsible for driving larger initiatives for Data track and identifying opportunities to build solutions related to data quality.

\* Identify unified data models collaborating with Data Science teams and going deep in to business domain

\* Drive the data excellence initiatives for the data quality and reliability of the Tier-1 & Tier-2 datasets for the Mobility org.

\* Solve challenging data problems with cutting-edge design and algorithms.

\* Coaching & Mentoring senior engineers