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Wallet icon Coin icon Rate 360 € - 380 € / man-day
Timer icon Form of cooperation Full-time
Briefcase icon Sector Information Technology
Location icon Location 100% Remote
Project duration 12 months with possibility of extension
Period of cooperation 27.03.2024 - 27.03.2025
Start date ASAP
Languages
  • English flag English - active, B2/C1/C2

Project description

  • develop and maintain scalable data pipelines
  • create efficient Extract, Transform, Load (ETL) processes to handle data transformation and preparation
  • ensure data accuracy and integrity across various sources
  • work with data warehousing technologies to organize and store large volumes of data
  • optimize data storage and retrieval for analytical and operational purposes
  • collaborate with data scientists to deploy machine learning models (incl. LLMs) into production environments. Leverage tools like Kubeflow, MLflow to streamline the end-to-end ML lifecycle
  • to ensure seamless integration of ML models with data pipelines
  • collaborate with business teams to enhance data models that feed business intelligence tools
  • foster data-driven decision-making by making data accessible to relevant stakeholders
  • quality assurance and consistency
  • implement software and methodologies for data correction, reconciliation, and quality checking
  • maintain data consistency across different data sources

Project requirements

  • advanced Python knowledge for data processing and scripting
  • hands-on experience with one or more cloud services (Azure, AWS, GCP)
  • proficiency in SQL and NoSQL databases
  • experience with Data as Code ; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker and Kubernetes
  • experience with Infrastructure as Code is a plus
  • strong problem-solving skills and attention to detail
  • good communication skills, fluent English
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