Data Engineer Job in Ubs

experience in Distributed Processing using Databricks (preferred) or Apache Spark
meaningful experience with at least one of the following technologies: Scala Or 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)
understanding of Information Security principles to ensure compliant handling and management of data
experience in traditional data warehousing / ETL tools (Azure Data factory, Informatica)
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)
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