Dein persönlicher KI-Karriere-Agent
Mid-Level Data Engineer(m/w/x)
Building and optimizing data pipelines for DNS services. JVM language fluency and CS fundamentals required. 4-day work week, company car for private use.
Anforderungen
- Deep care for data lifecycle stages
- Fluency in JVM-based language
- Eagerness to learn
- Understanding of CS fundamentals
- Hands-on problem-solving experience
- Experience with large-scale distributed systems
- Required Skills
- Strong programming fundamentals
- Experience in OO or functional programming
- Experience with data lake and analytical technologies
- Familiarity with streaming data platforms
- Experience implementing CI/CD pipelines
- Strong analytical skills
- Troubleshooting skills
- Problem-solving skills
- Ability to collaborate with stakeholders
- Preferred Skills
- Proficiency in Java or other JVM languages
- Experience with distributed data processing frameworks
- Experience with containerization and orchestration
- Strong understanding of distributed systems concepts
- Performance optimization understanding
- Experience in large-scale production data environments
- Experience with data visualization tools
- Qualifications:
- Bachelor’s degree in CS or related technical field
- Equivalent education and experience
- Experience developing production-grade data pipelines
- Experience managing production-grade data pipelines
- Minimum 5 years relevant industry experience
- Bachelor’s or Masters degree
- Open to alternative career paths
Aufgaben
- Design, build, and optimize data processing pipelines
- Develop and maintain data transformation logic
- Build and maintain interactive dashboards
- Develop and maintain containerized workloads
- Ensure data pipeline reliability
- Troubleshoot complex issues in data systems
- Support internal customers using data products
- Apply data engineering best practices
Berufserfahrung
- 5 Jahre
Ausbildung
- Pflichtschulabschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Iceberg
- Druid
- Hive
- Object Storage
- Apache Kafka
- Jenkins
- Java
- Scala
- Apache Spark
- Akka Streams
- Docker
- Kubernetes
- Grafana
- Tableau
- Superset
Benefits
Sonstige Vorteile
- Competitive benefits
Karriere- und Weiterentwicklung
- Career growth opportunities
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Mid-Level Data Engineer(m/w/x)
Building and optimizing data pipelines for DNS services. JVM language fluency and CS fundamentals required. 4-day work week, company car for private use.
Anforderungen
- Deep care for data lifecycle stages
- Fluency in JVM-based language
- Eagerness to learn
- Understanding of CS fundamentals
- Hands-on problem-solving experience
- Experience with large-scale distributed systems
- Required Skills
- Strong programming fundamentals
- Experience in OO or functional programming
- Experience with data lake and analytical technologies
- Familiarity with streaming data platforms
- Experience implementing CI/CD pipelines
- Strong analytical skills
- Troubleshooting skills
- Problem-solving skills
- Ability to collaborate with stakeholders
- Preferred Skills
- Proficiency in Java or other JVM languages
- Experience with distributed data processing frameworks
- Experience with containerization and orchestration
- Strong understanding of distributed systems concepts
- Performance optimization understanding
- Experience in large-scale production data environments
- Experience with data visualization tools
- Qualifications:
- Bachelor’s degree in CS or related technical field
- Equivalent education and experience
- Experience developing production-grade data pipelines
- Experience managing production-grade data pipelines
- Minimum 5 years relevant industry experience
- Bachelor’s or Masters degree
- Open to alternative career paths
Aufgaben
- Design, build, and optimize data processing pipelines
- Develop and maintain data transformation logic
- Build and maintain interactive dashboards
- Develop and maintain containerized workloads
- Ensure data pipeline reliability
- Troubleshoot complex issues in data systems
- Support internal customers using data products
- Apply data engineering best practices
Berufserfahrung
- 5 Jahre
Ausbildung
- Pflichtschulabschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Iceberg
- Druid
- Hive
- Object Storage
- Apache Kafka
- Jenkins
- Java
- Scala
- Apache Spark
- Akka Streams
- Docker
- Kubernetes
- Grafana
- Tableau
- Superset
Benefits
Sonstige Vorteile
- Competitive benefits
Karriere- und Weiterentwicklung
- Career growth opportunities
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Verisign
Branche
IT
Beschreibung
The company helps enable the security, stability, and resiliency of the internet, providing internet infrastructure services.
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