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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.
Requirements
- 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
Tasks
- 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.
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Fluent
- German – Basic
Tools & Technologies
- Spark
- Hadoop
- SQL
- Python
- Docker
- Kubernetes
Benefits
Job Security
- Secure permanent job
Startup Environment
- Participation in digital transformation
More Vacation Days
- Permanent contract with 30 vacation days
Mentorship & Coaching
- Structured onboarding and mentoring
Corporate Discounts
- 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.
Requirements
- 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
Tasks
- 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.
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Fluent
- German – Basic
Tools & Technologies
- Spark
- Hadoop
- SQL
- Python
- Docker
- Kubernetes
Benefits
Job Security
- Secure permanent job
Startup Environment
- Participation in digital transformation
More Vacation Days
- Permanent contract with 30 vacation days
Mentorship & Coaching
- Structured onboarding and mentoring
Corporate Discounts
- 30% staff discount at stores
About the Company
NEW YORKER
Industry
Retail
Description
Das Unternehmen macht Mode für echte Momente und sucht Mitarbeiter mit Leidenschaft und Kreativität.
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