The team is driving forward Data Foundation, a new way of working with data using the latest cloud technology, which is a key enabler in digital transformation
Job Summary
The team is driving forward Data Foundation, a new way of working with data using the latest cloud technology, which is a key enabler in digital transformation.
Principal Data Engineer leads the design, development, and industrialization of data pipelines to provide industrial-grade data products for data consumers, acting as the go-to person on technical aspects.
The role involves hands-on development of complex data products, driving adoption of innovations and best practices, and acting as a people manager for experts within the discipline.
Matching Summary
The team is driving forward Data Foundation, a new way of working with data using the latest cloud technology, which is a key enabler in digital transformation.
Skills & Requirements
Must-have
Data pipeline design and development
Cloud technology expertise
Data product reusability and maintainability
Industrial grade data products
Hands-on data engineering development
Databricks, Spark, Kafka, Terraform
Nice-to-have
Proactive problem-solving and learning
Teamwork and collaboration
Agile development methodologies
Global multi-cultural team collaboration
Continuous improvement mindset
Key Requirements
Master's or PhD degree in a quantitative field
18-20 years of professional hands-on experience
Proven track record in data engineering practices
Technical expertise in Databricks, AWS, Spark, Kafka, Terraform
Outstanding coding skills in Python, SQL, Scala
Experience in DevSecOps/DataOps practices
Expertise in cybersecurity, data privacy, and compliance