Cloud and Big Data Engineer

4 days ago


Älmhults Kommun, Sweden TN Sweden Full time
Job Summary

We are seeking a skilled Data Engineer to join our team at TN Sweden. As a key member of our cross-functional product team, you will play a vital role in designing, building, and maintaining the infrastructure and systems that allow data to be collected, processed, and analyzed efficiently.

Our company is committed to innovation and excellence, and we are looking for a professional who shares our values and passion for data. In this role, you will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions that drive business growth and success.

Key Responsibilities:

  • Design and Develop Data Pipelines: Design, construct, install, test, and maintain highly scalable data pipelines for big data analytics.
  • ETL Processes: Develop and maintain ETL (Extract, Transform, Load) processes to support data integration and transformation.
  • Database Management: Implement and manage databases, data warehouses, and data lakes, ensuring data integrity and accessibility.
  • Data Modeling: Design data models to support business intelligence, analytics, and reporting needs.
  • Performance Optimization: Optimize the performance of data processing systems and troubleshoot any issues.

Requirements

We are looking for a highly motivated and experienced professional with a strong background in data engineering. The ideal candidate will have excellent technical skills, a passion for innovation, and a collaborative mindset. Required qualifications include:

  • Bachelor's or Master's degree in Engineering, Computer Science, Information Systems, Mathematics, or equivalent.
  • At least 3 years of experience working in an equal or comparable position.
  • Excellent programming skills in multiple languages, including C#, Python, or SQL.
  • Experience with cloud services such as Microsoft Azure, AWS, Google Cloud Platform.
  • Strong analytical skills and ability to troubleshoot data-related issues.


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