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Cloud Data Solutions Architect

vor 2 Wochen


Zürich, Zürich, Schweiz Robert Walters Vollzeit
Job Summary

We are seeking an experienced Data Engineer to lead the development of our data infrastructure and support business growth through data-driven decision making.

About the Role:

  • Design and implement scalable data pipelines and ETL processes using Python, SQL, and Azure technologies.
  • Collaborate with stakeholders to identify data requirements and translate them into efficient data solutions.
  • Develop and optimize data models and database schemas to support business analytics and reporting needs.
  • Ensure data infrastructure is secure, available, and meets business requirements.
  • Automate and streamline data engineering workflows using DevOps practices.
  • Partner with data scientists and analysts to provide clean, organized, and reliable data.
  • Stay current with emerging technologies and industry trends related to data engineering.
  • Provide technical guidance and mentorship to junior data engineers.
Requirements:
  1. Degree in Computer Science, Information Systems, or a related field.
  2. Proven experience as a Data Engineer, with a strong background in Python programming and SQL.
  3. Experience with Azure cloud services, including Data Factory, Data Lake Storage, and Synapse Analytics.
  4. Solid understanding of ETL principles and best practices.
  5. Dimensional modeling experience.
  6. Cloud DWH experience.
  7. Proficiency in using Databricks for big data processing.
  8. Familiarity with MLflow for managing machine learning experiments.
  9. Strong understanding of database concepts and database design principles.
  10. Experience with DevOps practices and tools.
  11. Excellent problem-solving and analytical skills.
  12. Strong communication and collaboration skills.