CGF CounselGroupFrankfurt AG
CGF CounselGroupFrankfurt AG is a global IT consulting firm with over 200 consultants dedicated to providing tailored IT solutions. The company prides itself on a solutions-oriented service model that focuses on delivering business value. CGF specializes in the implementation of industrial Internet of Things (IIoT) communication systems that enhance production efficiency. Furthermore, they offer comprehensive IT security solutions to protect information systems and data. CGF is also known for their responsive IT support services, providing first, second, and third-level support remotely or on-site.
IT Consulting • ITPM • SAP • SUM • ITIL
Data Engineer
5 days ago
CGF CounselGroupFrankfurt AG
CGF CounselGroupFrankfurt AG is a global IT consulting firm with over 200 consultants dedicated to providing tailored IT solutions. The company prides itself on a solutions-oriented service model that focuses on delivering business value. CGF specializes in the implementation of industrial Internet of Things (IIoT) communication systems that enhance production efficiency. Furthermore, they offer comprehensive IT security solutions to protect information systems and data. CGF is also known for their responsive IT support services, providing first, second, and third-level support remotely or on-site.
IT Consulting • ITPM • SAP • SUM • ITIL
📋 Description
• We are looking for a data engineer, experienced in the area of Microsoft Azure and Databricks. • The engineer will be part of a data platform core team, implementing the core layer for data use cases in the context of pharma / healthcare.
🎯 Requirements
• Apache Spark • Azure Data Factory • Azure Databricks • Azure DevOps • Azure Synapse • Big Data • Data Warehouse • Data modelling • PySpark • Python • SQL • Very good experience with Azure cloud services (such as Data Lake Storage, Data Factory, Synapse/ SQL server, Event Hub and Azure DevOps) • Experience with Designing, developing, and maintaining data pipelines and ETL processes for efficient data ingestion and transformation • Solid knowledge of data warehousing, data modeling, data storage, and data access techniques with experience in big data architectures and integration models • Good programming skills in SQL, Python and Pyspark • Professional experience with big data frameworks and tools such as Apache Spark (or Databricks) • Experience with Microsoft Fabric • Experience with Databricks and DBT • Fluency in English is required
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