UBS is looking to transform into an agile organization by designing and building scalable digital products and services, particularly in the area of data engineering and cloud-based solutions for Periodic KYC Reviews.
Requirements
- Ideally 14+ years of IT experience with preferably 4 years in cloud-based data engineering.
- Proficiency in Python and Java.
- Hands-on experience with Apache Kafka for real-time data streaming.
- Strong understanding of data warehousing and ETL tools.
- Experience with RDBMS (SQL Server, DB2, PostgreSQL) and NoSQL databases (MongoDB, Cassandra, Neo4J, CosmosDB, Gremlin) is a plus.
- Familiarity with Git, IntelliJ, and modern development workflows (Gitflow, CI/CD).
- Experience across SDLC in Agile, Kanban, and Waterfall environments using Azure DevOps.
Responsibilities
- Design, build, and maintain scalable and secure data pipelines on Azure (preferred) or other cloud platforms.
- Develop and optimize data ingestion, transformation, and storage solutions using Python, Java, and Apache Kafka.
- Work with structured, semi-structured, and unstructured data to extract insights and identify relationships across datasets.
- Create data models and structures optimized for performance and query efficiency.
- Ensure compliance with Information Security and data governance standards.
- Collaborate with cross-functional teams to define data strategies and implement enterprise-wide data solutions.
- Monitor and troubleshoot data pipelines using tools like Azure Logs, AppInsights, Grafana, and Spark monitoring.
Other
- Strong communication, problem-solving, and analytical skills.
- Knowledge of infrastructure-as-code tools like ARM, Terraform, Ansible, PowerShell, and YAML.
- Ability to work in a global team environment with members distributed across the US, Poland, and India.
- Open to applications from career returners.
- Eligibility to work in the United States.
