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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 must be able to design and drive large projects from inception to production. The right person will work with stakeholders, analysts, scientists to gather requirements and translate them into a data engineering roadmap. Must be a great communicator, team player, and a technical powerhouse.
Job Responsibility:
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
Requirements:
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
Nice to have:
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