Senior Data Engineer PySpark

Senior Data Engineer PySpark
Swisslinx is seeking for a Senior Data Engineer to join an exciting project at one of global leading re/insurance company in Zurich on a 12-month contract
Senior Data Engineer PySpark
Job description:
Design and implement production-ready data pipelines using PySpark on Databricks
Work from specifications provided by Business Analysts
Collaborate closely with Data Engineers and Solution Architects
Ensure solutions meet both functional and non-functional requirements
Developing applications using an IDE such as VS Code or PyCharm
About the customer:
Duration: 12 monthly, very likely to extend (intial project goes until 2028)
Location: Zurich
Hybrid: 3 days/week in the Office
Your team:
Team of 12 people, including the Product Owner, 4 Business analysts and 7 engineers, most of them are in Zurich, others in Italy.
Top 3 must-have skills
PySpark ( alone is not enough - Spark is essential)
Databricks & Delta Lake
Azure fundamentals
Requirements:
Min. 5 years of experience as Data Engineer developing complex software systems
Bachelor's or Master's degree in Computer Science (or related field)
Strong software engineering mindset (design patterns, best practices, clean code)
Solid background in data engineering and analytical frameworks
Strong core software engineering experience
3+ years of hands-on experience with modern data platforms
Experience of working with delta lakes and optimizing Spark workloads running on it.
Have a good understanding and significant experience with projects using relational data models and SQL. jid74e8fbea jit0520a jiy26a