Data Engineer

UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

We have a presence in all major financial centres in more than 50 countries.

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

• experience in Distributed Processing using Databricks  or Apache Spark

• meaningful experience on Scala/Python/Java

• ability to debug using tools like Ganglia UI, expertise in Optimizing Spark Jobs

• experience and interest in Cloud platforms such as Azure (preferred) or AWS

• the ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

• expert in creating data structures optimized for storage and various query patterns for e.g. Parquet and Delta Lake

• meaningful experience in at least one database technology such as: traditional RDBMS (MS SQL Server, Oracle, PostgreSQL),noSQL (MongoDB, Cassandra, Neo4J, CosmosDB, Gremlin)

• strong problem solving and analytical skills

• proficient at working with large and complex code bases (Github, Gitflow, Fork/Pull Model) and development tools like IntelliJ

• working experience in Agile methodologies (SCRUM, XP, Kanban)