Azure Data Engineer
1365-1 Azure Data Engineer
On behalf of our client, a leading reinsurance company, we are looking for an Azure Data Engineer.
The department is responsible for the finance integration of all special case legal entities (e.g., new acquisitions and joint ventures) of the company (globally). For the data engineering use-case, the client use Azure Databricks, Azure Data Factory and Azure Data Lake (Delta Lake) to extract, load and transform data from various source systems and deliver it in a harmonized data model into cleint's new global finance platform built on SAP FPSL.
Location: Zurich
Start: ASAP
Duration: 12 months and extension is possible
Must have skills:
o 3+ years of experience in data engineering application development using Spark, preferably in an enterprise environment on Microsoft Azure
o 5+ years of experience in building enterprise big data / data engineering applications using continuous integration tools like Azure DevOps
o Strong understanding of reusable software design patterns
o Experience in Azure Data Factory, Azure Data Lake and Azure Log Analytics
o Design and implementation of production-grade solutions
o Delivering high-quality code, focusing on simplicity, performance, maintainability and scalability
o Practical experience in applying an agile way of working and in applying DevOps methodologies
o Excellent analytical and conceptual skills to understand complex technology stacks and their dependencies
Nice to have skills, or willingness to learn:
o Proficient in Python/PySpark and SQL (Spark SQL)
o Enterprise system integration experience
o Insurance know-how
o Finance & accounting or actuarial knowledge