On-site
Part Time
About the Role
We are seeking a strong and passionate data engineer with experience in large-scale system implementation, with a focus on complex data pipelines. The candidate should be able to design and drive large projects from inception to production. The right person will work with cross-functional businesses', and technology partners to gather requirements and translate them into a data engineering roadmap. Must be a great communicator, standout teammate, and a technology powerhouse.
- What You Will Do -
Collaborate with engineering/product/analyst teams across tech sites to collectively accomplish OKRs to take Uber forward
Enrich data layers to effectively deal with the next generation of products which are a result of Uber's big bold bets
Design and build data pipelines to schedule & orchestrate a variety of tasks such as extract, cleanse, transform, enrich & load data as per the business needs
- Basic Qualifications -
5+ years total technical software engineering experience in one or more of the following areas:
Programming and scripting language (e.g. Python, SQL, Java/Scala)
Big data frameworks (e.g. Spark, Flink, MR, Presto), data modeling, and writing ETLs
Designing end-to-end data solutions and architecture
- Preferred Qualifications -
Strong SQL skills
Strong in Data Warehousing and Data Modelling concepts
Hands-on experience in Hadoop tech stack:
HDFS, Hive, Oozie, Airflow, MapReduce, Spark.
Programming languages - Python, Java, Scala, etc.
Experience in building ETL Data Pipelines
Performance Troubleshooting and Tuning
Uber
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