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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
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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
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
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?
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