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NENEW YORKER

Senior Data Engineer(m/w/x)

Braunschweig
Full-timeOn-siteManagement
AI/ML
Data Science

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

  • EnglishFluent
  • GermanBasic

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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