Senior DataOps Engineer (m/f/d)
Core
Design and implement scalable, high-performing data pipelines and optimize data architecture for Data & AI initiatives in digital healthcare.
Role type
Senior DataOps Engineer
Builds
Cloud-native data solutions on Azure using Databricks and Big Data technologies
Domain
Healthcare / Big Data Engineering
Deliverable
production ML models
Required skills
Azure Data Services, Databricks, Apache Spark, Kafka, Flink, SQL, Python, Scala, Java, GitHub, CI/CD, DevOps
Preferred skills
Experience with distributed architecture, cloud-native systems
Technologies
Azure, Databricks, Kafka, Flink, GitHub
Responsibilities
Design and implement scalable data pipelines; Build and deploy cloud-native solutions; Collaborate across teams to support data needs; Apply CI/CD practices; Optimize performance, scalability, and security in data systems
Seniority
Senior, hands-on IC