Job Description

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

• 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.