Data Engineer
1 week ago
Ferrosan Medical Devices develops and produces a portfolio of medical devices used in surgical care. Our portfolio consists of various hemostatic products to minimize bleeding challenges in surgery and electromechanical medical devices to perform breast biopsies.
We are an international company with products registered in more than 100 countries. Our products are marketed in collaboration with global MedTech partners. Innovative ideas are developed and matured from the first thought to finished implementation in production.
Competitive OfferingsA competitive salary and benefits package is offered, along with an innovative and inclusive culture. You will have the opportunity to make a significant impact in the medical device industry.
Job DescriptionWe are seeking a proficient Data Engineer to become a valuable member of our dynamic team. As a Data Engineer, you will understand the data products and pipelines we have on the platform and deliver new data products together with different business domains and the team.
You will continuously improve how we implement new products most efficiently. Being a true team player with a focus on creating an open, inclusive, and collaborative work environment and establishing transparency in the team is fundamental.
The ideal candidate should excel in utilizing Azure cloud solutions, be proficient in C# and python programming, and have a robust ability in documentation, which is crucial for meeting regulatory requirements in the medical devices sector.
Responsibilities- Develop and maintain ingestion pipelines from various data sources such as databases, APIs, logs, and external datasets in Microsoft Azure and Microsoft Fabric.
- Cleanse, preprocess, and transform raw data into structured formats suitable for analysis and storage.
- Integrate data from multiple sources, ensuring data consistency and accuracy across various data repositories.
- Design, manage, monitor, and optimize data pipelines and databases for scalability, improved performance, responsiveness, and resource efficiency.
- Document data engineering processes, workflows, and data models for team members and stakeholders.
The following skills and qualifications are required:
- Javascript, Python, Azure DevOps, SQL, XML, Degree, Excel, PowerBI, CAN
- Additional skills include sport subscription, international projects, training budget, private healthcare, English lessons, integration events, extra social benefits, holiday funds, life insurance, christmas gifts, employee referral program, bike parking, free coffee, free parking, in-house trainings, no dress code, fruits
Estimated Salary: $80,000 - $110,000 per year
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