Details

UBS is hiring for the position of Data Engineer – Scala!

Responsibilities

• Data Pipeline Engineering:
  • Build reliable data pipelines for sourcing, processing, distributing, and storing data using cloud data platforms effectively.
• Data Transformation:
  • Convert raw data into valuable insights to inform business decisions by leveraging internal data platforms and analytical techniques.
• Automation & Problem-Solving:
  • Develop and apply data engineering techniques to automate manual processes and address challenging business problems.
• Solution Quality & Compliance:
  • Ensure solutions meet quality, security, reliability, and compliance standards by adhering to digital principles and implementing functional/non-functional requirements.
• Observability & Incident Resolution:
  • Incorporate observability into solutions, monitor production health, and assist in incident resolution and root cause analysis.
• Client Advocacy:
  • Understand, represent, and advocate for client needs in data engineering solutions.
• Knowledge Sharing:
  • Codify best practices and methodologies while sharing knowledge with other UBS engineers.
• Architecture Development:
  • Shape the Reference Data Mastering and Distribution architecture within UBS’s new cloud-based datalake-house.

Requirements

• Technical Expertise:
  • Experience with Distributed Processing using Databricks (preferred) or Apache Spark.
  • Proficient in Scala with expertise in debugging and optimizing Spark Jobs.
  • Experience with cloud platforms such as Azure (preferred) or AWS.
• Data Handling Skills:
  • Ability to work across structured, semi-structured, and unstructured data, identifying linkages across disparate datasets.
  • Expertise in creating optimized data structures (e.g., Parquet, Delta Lake).
• Database Proficiency:
  • Experience with at least one database technology:
    • RDBMS (MS SQL Server, Oracle, PostgreSQL).
    • NoSQL (MongoDB, Cassandra, CosmosDB, Gremlin, Neo4J).
• Security & Compliance:
  • Understanding of Information Security principles to ensure compliant handling and management of data.
• Tools & Platforms:
  • Experience with ETL tools like Azure Data Factory and Informatica.
  • Proficiency with GitHub, Gitflow, and development tools like IntelliJ.
• Agile Methodologies:
  • Practical experience with SCRUM, XP, or Kanban in Agile workflows.
• Analytical & Problem-Solving Skills:
  • Strong analytical skills and problem-solving abilities to work on large, complex codebases.

This is an exceptional opportunity to work with cutting-edge cloud technologies, solve complex business problems, and contribute to UBS’s innovative data engineering landscape. Apply now to join UBS and advance your career!