Job offer
Senior Data Engineer - Data Analytics Platform
The Julius Baer Group is seeking a Senior Data Engineer for its Data Analytics Platform to support the development of data processes and ensure data quality and security. The ideal candidate should have experience in ETL/ELT, data warehousing, and cloud-based data technologies.
Tasks
- Development of processes that ensure data security and quality
Your profile
- Bachelor's or Master's degree in computer science, data analytics, information systems, or a related technical field, or equivalent education and professional experience
- 5+ years of experience in ETL/ELT, data warehousing, business intelligence, and integrating data processing and workflow management tools into pipeline design
- 5+ years of experience in developing and maintaining end-to-end data systems using Python, Scala, or similar programming languages
- Solid experience using SQL for data analysis, investigating data issues, diagnosing root causes, and designing effective solutions
- Experience working with cloud-based data technologies, preferably on Microsoft Azure, in continuous integration and delivery (CI/CD) environments
- Proven experience working with large volumes of data using Databricks, PySpark, Spark Streaming, and Delta Lake
- Practical experience with structured, semi-structured, and unstructured data in various storage systems, including relational databases (RDBMS), data warehouses, in-memory caches, and document databases
- Familiarity with cloud-based storage solutions such as Azure Data Lake and Blob Storage
- Solid understanding of data modeling principles (experience with Data Vault is a plus) and strong skills in system design, implementation, and testing
- Experience with event-driven architectures (e.g., Kafka, Event Hubs, Apache Flink) and containerized microservices platforms (e.g., Kubernetes, Docker, Helm Charts)
Job details
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