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IT and Data Integration Specialist

2 months ago

Nacka Municipality, Sweden ImmunoIVD AB Full time

Job Summary:

We are seeking a highly skilled Data Integration and Operations Manager to join our team at ImmunoIVD AB. As an IT and Data Integration Specialist, you will play a critical role in managing and optimizing our operational workflows while ensuring seamless data integration across various platforms.

Key Responsibilities:

  • Operational Excellence: Manage day-to-day operational activities to ensure smooth and efficient workflows. Quickly identify and address issues that may disrupt productivity, ensuring minimal downtime and maximum efficiency.
  • Data Integration and Management: Design and maintain Extract, Transform, Load (ETL) processes to move and transform data between systems, ensuring accuracy and consistency. Collaborate with cross-functional teams to internal software systems, manage migrations, and improve data pipelines to enable better decision-making.
  • Process Optimization: Analyze operational processes and identify areas for improvement, recommending and implementing solutions to optimize functionality. Develop and implement process improvements to increase efficiency, reduce costs, and enhance overall performance.
  • Data Engineering: Build and manage data pipelines, including data validation, transformation, and storage in collaboration with data teams. Ensure data quality, integrity, and security throughout the data lifecycle.
  • Collaboration and Communication: Work with both technical and non-technical teams to understand data and operational needs, providing solutions that drive efficiency and effectiveness. Develop and maintain strong relationships with stakeholders to ensure seamless communication and collaboration.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • 2+ years of experience in operations, data integration, or a similar role.
  • Proficiency in Python, R, SQL, and experience with tools like Pandas, PyTorch, and Jupyter.
  • Experience with data engineering concepts, including building ETL pipelines and data architecture.
  • Problem-solving mindset with the ability to identify inefficiencies and implement improvements quickly.
  • Excellent communication skills and the ability to work collaboratively across departments.

Bonus Skills:

  • Familiar with advanced machine learning models such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs).
  • Experience with data visualization tools like PowerBI.
  • Hands-on experience with chatbot development or AI-driven applications.