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Uber Staff Data Engineer United States, West Virginia 226249923
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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)
\ * Responsible for driving larger initiatives for Data track and identifying opportunities to build solutions related to data quality.
\ * 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
* 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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