Software Engineer II - Data

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 4-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