Dein persönlicher KI-Karriere-Agent
Senior Data Engineer(m/w/x)
Designing and optimizing data processing architectures for retail, implementing pipelines with PySpark and Airflow. Master's degree in Computer Science and extensive Spark/Hadoop/SQL experience required. 30 vacation days, 30% staff discount at stores.
Anforderungen
- Master’s degree in Computer Science
- Three or more years of experience
- Extensive experience with Spark, Hadoop, SQL
- Ability to write efficient Python code
- Experience with Docker and Kubernetes
- Good Linux knowledge
- Team player and strong communicator
- Fluent English, good German is a plus
Aufgaben
- Design and optimize data processing architectures in Python.
- Extract, transform, analyze, and clean data from various sources.
- Implement and maintain reliable data pipelines using PySpark and Airflow.
- Communicate proactively to understand data generation and quality.
- Operationalize machine learning pipelines with data scientists.
- Architect and develop CI/CD processes.
- Operate and optimize Hadoop clusters with DevOps support.
- Mentor junior team members through code reviews and pair programming.
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- Spark
- Hadoop
- SQL
- Python
- Docker
- Kubernetes
Benefits
Sicherer Arbeitsplatz
- Secure permanent job
Startup-Atmosphäre
- Participation in digital transformation
Mehr Urlaubstage
- Permanent contract with 30 vacation days
Mentoring & Coaching
- Structured onboarding and mentoring
Mitarbeiterrabatte
- 30% staff discount at stores
Noch nicht perfekt?
- NEW YORKERVollzeitnur vor OrtSeniorBraunschweig
- NEW YORKER
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Senior Data Engineer(m/w/x)
Designing and optimizing data processing architectures for retail, implementing pipelines with PySpark and Airflow. Master's degree in Computer Science and extensive Spark/Hadoop/SQL experience required. 30 vacation days, 30% staff discount at stores.
Anforderungen
- Master’s degree in Computer Science
- Three or more years of experience
- Extensive experience with Spark, Hadoop, SQL
- Ability to write efficient Python code
- Experience with Docker and Kubernetes
- Good Linux knowledge
- Team player and strong communicator
- Fluent English, good German is a plus
Aufgaben
- Design and optimize data processing architectures in Python.
- Extract, transform, analyze, and clean data from various sources.
- Implement and maintain reliable data pipelines using PySpark and Airflow.
- Communicate proactively to understand data generation and quality.
- Operationalize machine learning pipelines with data scientists.
- Architect and develop CI/CD processes.
- Operate and optimize Hadoop clusters with DevOps support.
- Mentor junior team members through code reviews and pair programming.
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- Spark
- Hadoop
- SQL
- Python
- Docker
- Kubernetes
Benefits
Sicherer Arbeitsplatz
- Secure permanent job
Startup-Atmosphäre
- Participation in digital transformation
Mehr Urlaubstage
- Permanent contract with 30 vacation days
Mentoring & Coaching
- Structured onboarding and mentoring
Mitarbeiterrabatte
- 30% staff discount at stores
Über das Unternehmen
NEW YORKER
Branche
Retail
Beschreibung
Das Unternehmen macht Mode für echte Momente und sucht Mitarbeiter mit Leidenschaft und Kreativität.
Noch nicht perfekt?
- NEW YORKER
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