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 Ubers 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 ----
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
---- Preferred Qualifications ----
Experience with DW (Data Warehouse) or BI (Business Intelligence) or OLAP tools like Anaplan, TM1, Hyperion etc.
Experience building high-quality end-to-end data solutions in an agile environment from requirements to production.
Strong in Data Warehousing concepts
Should be self-motivated and passionate about bringing efficiency into the system through optimizations.
Should be able to raise the bar for other engineers by proposing and driving innovative ideas.
Experience in mentoring junior team members technically.
If need be, Act as a Leader to drive big efforts in collaboration with other engineers or team members
Job Classification
Industry: Internet Functional Area / Department: Engineering - Software & QA Role Category: Software Development Role: Data Engineer Employement Type: Full time