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- Build a Data Platform for Data Analytics and AI in the financial industry
- Data requirements engineering and modelling
- Data management and transformation
- Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions
- Produce high-quality, well-tested, and secure code
- Develop and maintain software designed to improve data governance and security
- Develop processes designed to ensure Data Security and Data Quality
- Several years of experience in building and maintaining end-to-end data systems and supporting services incorporating data processing and workflow management tools into pipeline design
- Several years of experience in ETL, data warehousing and business intelligence development (SQL)
- Experience with data modelling and data warehousing concepts
- Experience with cloud data technologies
- Experience with structured, semi-structured, and unstructured data
- Experience in utilizing a variety of data stores (DWH, RDBMS, in-memory caches, and searchable document databases)
- Experience with large data sets (SQL, Data Bricks, PySparkSQL, Azure Data Factory)
- Experience work with No-SQL storage and databases such as Azure Storage, Data Lakes, CosmosDB, MongoDB
- Experience in software development (Python, C#, Scala, JavaScript, or similar)
- Experience in developing continuous integration and automated deployments on cloud platforms
- Fluent in English
- Experience with MS PowerBI data models
- Experience in the banking industry
- German language skills
- Good communication skills
- Team player and service-oriented personality
- Willing to learn new technologies
Azure Data Engineer - Zürich, Schweiz - Pro Informatik AG
