Satellit - Data Engineer H/F/X

Beschrijving van het bedrijf

Satellit is specialized in business transformation, digital transformation and Microsoft technologies. We've intentionally designed an organization that values people as much as great solutions. You'll find that the employees at Satellit are just the right combination of smart, discriminating and friendly. We have a company with a special culture that makes people happy-our employees, our clients, and the people who use our solutions. At Satellit, you'll find a diverse mix of bright employees who are often called the smartest people in the room. But don't worry. Things like that don't go to our head. There is always more to learn. Our culture didn't happen by accident, we create it by drawing on our executives' experience, we consistently analyse how we can make it better, and we make adjustments on regular basis. Satellit does not set out to be "yet another" IT service provider! Our target is to marshal experienced IT profiles to evolve as one in a common direction: boosting our clients' expertise through our top-rated employees and freelancers. By working at Satellit, sure, we'll pay you on a regular basis, but the benefits extend far beyond an electronic deposit in your bank account. We keep our team satisfied by offering them the chance to work on rewarding projects within a challenging environment. We also offer training opportunities to keep pace with the latest technologies and provide regular and personal follow-up during the different missions on the clients' site.

Beschrijving van de functie

Data Engineer 
 
Job Overview
 
Responsible for ensuring high-quality access to and management of data sources, guaranteeing data quality through cataloging, normalization, and qualification to support analytics teams. Collaborates on defining data governance policies and structuring the data lifecycle in compliance with regulations. Oversees data integration and supervision from various application systems and Big Data/IoT platforms, ensuring data quality in the Data Lake through validation and duplicate removal."
 
Key Responsibilities

• Ensure high-quality access to data sources
• Master and maintain data quality through cataloging, normalization, and qualification to facilitate use by analytics teams
• Capture, integrate, and consolidate structured and unstructured data from diverse systems into the Data Lake
• Structure, map, clean (duplicate removal), and validate data sets
• Collaborate on establishing data governance policies and managing the data lifecycle in compliance with regulations
• Oversee and monitor data pipelines on Big Data and IoT platforms

Skills and Competences

• Agile methodology
• Multi-tasking
• Analytical thinking
• Organizational skills

Qualifications

• At least 5 years of experience with Agile methodology
• At least 5 years of experience in Big Data architecture and technologies
• At least 5 years of experience with Python
• At least 5 years of experience with SQL
• At least 5 years of experience developing and consuming APIs
• At least 3 years of experience working on multiple topics simultaneously
• At least 3 years of experience in analytical and synthesis work
• At least 3 years of experience demonstrating organizational rigor
• At least 3 years of experience with Spark
• At least 3 years of experience with AWS
• At least 3 years of experience with Databricks
• At least 3 years of experience with Shell scripting

 
 
 
 

Taalvaardigheden

• Engels (troef)

  • Begrijpen : Vaardig - (C1)
  • Schrijven : Vaardig - (C1)
  • Lezen : Vaardig - (C1)
  • Spreken : Vaardig - (C1)

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