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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
The company focuses on digital transformation and innovation in the retail industry, using advanced data science and machine learning techniques.
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