Senior Data Engineer A Azure

Description de la mission

For our client, a globally active Zurich-based company from the financial sector, we are looking for a Senior Data Engineer.Tasks

Build a Data Platform for Data Analytics and AI in the financial industry based on PySpark and MS Azure
Establish the data platform concept
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

Requirements

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

Soft Skills

Team Player and Growth Mindset
Excellent written and verbal communication skills
Good communication and collaboration skills
Passion for producing high quality Data products
Strong intellectual curiosity and passion for learning new technologies