- Generates value from data by increasing, integrating, enriching, and distributing data-asset
- Design, develop, and operate scalable and robust data pipelines using state-of-the-art data engineering practices
- Develop and operate scalable, agile, quality-first data platforms and enable sustainable data science deployment solutions
- Advance the team with your expertise and extend and deepen your knowledge by strong collaboration within the team
- Actively participate in cross-functional teams using agile methods to deliver high quality data products at a fast pace
- Act as business partner to advice and consult business to use data efficiently
- Degree in computer science, software engineering or a related subject
- Minimum 5 years of working experience in Azure cloud data ecosystems; covering data ingestion, data modeling, and data provisioning to consumers and downstream systems
- Experience in ETL/ELT design, data and interface specifications, quality assurance and testing methods
- Experience in building robust, scalable, high-quality data products in iterations and integrating them into existing and new data-pipelines
- Experience with agile methodologies in a professional development environment (CI/CD) and code versioning tools, such as Git, SVN, etc.
- Excellent coding skills in relevant languages for Microsoft Azure environment (e.g. SQL, Python, C#, DAX)
- Knowledge and experience in DATA VAULT 2.0 is a plus
- Working experience in Azure Data Bricks, Microsoft Fabric would be a plus
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
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Senior Business Intelligence Developer - Düsseldorf, Deutschland - Morpheus Talent Solutions
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