Software Engineer II - Data

The FinTech Data Team at Uber plays a crucial role in transforming raw data into valuable financial metrics, enabling ML models, and supporting KPIs across all Lines of Business. As a Software Engineer II - Data, you'll be part of a team that monitors billions of dollars in global financial transactions and tracks hundreds of millions of events from over 15 upstream systems. This data serves as a definitive source for assessing business performance across regions and assists Uber in making strategic business decisions.

You'll be building high-performance scalable applications and working on complex data pipelines. This high-impact role provides a holistic perspective on Finance Technologies at Uber and offers the opportunity to collaborate with a global cross-functional group. You'll work closely with Product Managers to understand the domain of Finance and the nuances of various businesses.

Key responsibilities include:

• Building optimized ETL Data Pipelines scalable to petabytes
• Implementing strong data warehousing and data modeling concepts
• Performance troubleshooting, tuning, and ensuring the highest data quality
• Bringing efficiency into the system through optimizations

Required skills:

• Strong SQL skills
• Experience with Hive, Spark, and data infrastructure concepts
• BA or above in Computer Science or related field

Preferred qualifications:

• Experience with large-scale data warehousing architecture and data modeling
• Proficiency in programming languages like Python, GO, Java/Scala
• Knowledge of Hadoop-related technologies (HDFS, Hive/Spark, PySpark, Presto, Airflow, Hudi, DeltaLake)
• Experience with data warehouses like Snowflake, Redshift, Big Query
• Familiarity with real-time processing using Flink, Spark Streaming, Pinot, STORM
• Cloud technologies (GCP is a big plus)

Join Uber's FinTech Data Team and make a significant impact on the backbone of Uber's financial technologies. This role offers exciting challenges and the opportunity to work with cutting-edge data technologies at a global scale.