Passende Schulungen
finden Sie hier:
↪ Microsoft Azure
↪ Microsoft Certified: Azure Enterprise Data Analyst Associate
↪ Microsoft Dynamics 365 Finance & Supply Chain Management
↪ Cloudera
↪ SQL Server 2016
↪ Azure HDInsight
↪ Microsoft Office 2016
↪ Alibaba Cloud
↪ Data Mining - Machine Learning
↪ Microsoft Project Server 2019
↪ Apache Hadoop
↪ SQL Server 2017
↪ Python
↪ Azure Cosmos DB
↪ CouchDB
↪ PostgreSQL
↪ Oracle Datawarehousing
↪ NoSQL
↪ Apache Cassandra
↪ Oracle Data Integrator (ODI)
↪ SQL Server
↪ Resilienz- & Stressmanagement
↪ Microsoft Certified: Azure Developer Associate
↪ CRM & ERP
↪ Big Data
↪ AWS Certified Cloud Practitioner (ACCP)
↪ Cloud
↪ IT-Service Management
↪ Management & Business-Skills
↪ Apache Spark
↪ Microsoft Exchange Online
↪ Amazon Elastic MapReduce (EMR)
↪ AWS
↪ SharePoint Online
↪ Google Workspace (G Suite)
↪ WatchGuard

Data Engineer (m/w/d) #6230


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Projektdetails
Projektkategorien: Big Data, Cloud
Projektbeginn: 01.01.1970
Abrechnung nach: nach Vereinbarung
Nebenkosten abrechenbar: Nein
Projektvolumen: keine Angabe

Projektbeschreibung
  • Degree in Computer Science or related technical discipline.
  • Experience in modelling and processing time series data
  • Experience in data pipeline development with Azure Data Factory and DataBricks
  • Experience in Python development preferably with PySPARK
  • Experience in modelling data on RDBMS, noSQL, Parquet
  • Experience in Web Service development with REST and SOAP
  • Experience in deploying API services in a cloud environment preferably AZURE
  • Experience in setting up logging and monitoring for the data services
  • Experience in German and English
  • Take over responsibility and analytical thinking
  • Enjoying collaborating internationally and across cultural borders

Ihre Aufgaben

  • Develop a data models for structured and unstructured data with SQL DB, noSQL, Parquet
  • Develop batch data pipelines for collecting, cleaning and archiving big data with Azure Data Factory, SPARK, Python, DataBricks
  • Fetch data from various sources, including Web services, shared drives or database connections
  • Deploy the solution to a productive environment in MS Azure cloud
  • Support in the definition of the solution architecture with various business units
  • Support the development of an energy analytical solution API implementation

Kontakt

Cegeka Deutschland GmbH
Alessia Cosentino
Neue Weyerstraße 6
50676 Köln
Tel. +49 221 160 20 17
Fax +49 221 160 20 13
alessia.cosentino@cegeka.de

Sprachkenntnisse
Deutsch
Experte
Kenntnisse & Fähigkeiten
Big Data
Grundkentnisse
Cassandra
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Cloud Computing
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Cloud-Entwicklung
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CouchDB
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Data Factory
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Hadoop
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IT-Service & Support & Rollout
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Microsoft Azure
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Python
Grundkentnisse
SQL
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SQL Azure
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