Beschreibung
Data Engineer - Spark
Experis is the global leader in professional resourcing and project-based workforce solutions. Our suite of services ranges from interim and permanent recruitment to managed services and consulting, enabling businesses to achieve their goals. We accelerate organisational growth by attracting, assessing, and placing specialised professional talent.
Essentials Skills and Qualifications:
- 3+ years of experience in data engineering application development using Spark, preferably in an enterprise environment
- 5+ years of experience in building enterprise big data/data engineering applications using continuous integration tools like Azure DevOps
- Strong understanding of reusable software design patterns
- Design and implementation of production-grade solutions
- Delivering high-quality code, focusing on simplicity, performance, maintainability and scalability
- Practical experience in applying an agile way of working and in applying DevOps methodologies
- Excellent analytical and conceptual skills to understand complex technology stacks and their dependencies
Desired Skills and Qualifications:
- Proficient in Python/PySpark and SQL (Spark SQL)
- Experience in Azure Data Factory, Azure Data Lake, Azure Monitor, Azure Log Analytics
- Enterprise system integration experience
- Insurance know-how
- Finance & accounting or actuarial knowledge
Interested in this opportunity? Kindly send us your CV today through the link in the advert. However, should you have any questions please contact Danny Besse.