Azure Data Engineer


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As an Azure Data Engineer; your primary responsibilities are:
  • Design and build modern data integration patterns using Azure Data Factory, Azure Data Bricks
  • Design and build data service APIs
  • Analyze current ETL patterns, processes and procedures and identify future opportunities for leveraging Microsoft Azure data & analytics PaaS services.
  • Support the planning and implementation of data platform services including sizing, configuration, and needs assessment
  • Implement effective metrics and monitoring processes
  • Work as a trusted consultant to our clients
The key requirements for the role are:
  • IT degree
  • Azure Data Factory – 2+ years
  • Azure Databricks – 2+ years
  • SQL – 2+ years
  • SSAS & T-SQL (Primary Skills) – 2+ years
  • Overall IT Experience – 5+ years
  • Experience with data visualization using Power BI, SAS VA, and Power Pivot
  • Good understanding of Azure PaaS services
    Strong English knowledge
  • Experience with Agile Methodology
  • Azure DevOps Knowledge
  • Python knowledge

    These are some of the benefits you will enjoy:

  • Attractive salary & benefits
  • Pleasant work atmosphere: open office environment, relax rooms, cafeterias, kitchens and terraces
  • Job security: Our Partner guaranteed the job to all employees during pandemic
  • Get in the shape: 24 hours free gym facilities
  • Career growth opportunities: 70%+ of leadership roles fulfilled by internal promotions
  • Best diversity of workplace – 99 Nationalities
  • Opportunity to volunteer in the corporate social responsibility
  • Opportunity to network with 500,000 associates in the organization
  • Work-life balance: Home office opportunities
  • Learning opportunities: Internal learning programs, alliances with LinkedIn learning, Udemy and others
  • Be part of a real multinational team and environment (90+ nationalities)
  • Develop your career path and grow domain wise (vertical and horizontal opportunities for growth and rotation among different units)
  • Learn and develop soft and hard skills (1000+ internal training)
Location: Budapest

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