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Data Engineer

Data Engineer

Randstad HungaryBudapest, Hungary
21 napja
Munkaköri leírás
  • Opportunity to gain MS certifications
  • Flexible working conditions
  • Opportunity for professional development
  • Freedom to develop independent processes within your team. Our client believes that employees deliver better results when given autonomy and responsibility.
  • Open communication; through a flat organizational hierarchy, they are agile and able to respond as a cohesive team
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    Organisation / Department

    Our client empowers organizations worldwide to strategically acquire and optimize software investments, embrace cloud and AI technologies, and drive innovation through enhanced efficiency. They are a trusted advisor in strategic software acquisition, continual IT estate optimization, and maximizing returns on investments in cloud, data, and AI.

    We are seeking a Data Engineer to design and implement data solutions in Microsoft Azure. As a Data Engineer, you will operate within some of our most versatile and complex client environments, utilizing technologies such as ETL tools, SQL and Python.

    Job description

    Lead technical decisions for enterprise data architecture using Databricks

    Develop strategies for cost-effective, high-performance data architectures, covering everything from data streams to analytical storage

    Design and implement data solutions in Microsoft Azure, based on project needs

    Build and maintain ETL processes and data models for analytical pipelines, especially in Finance

    Establish and uphold best practices for software development, like version control, testing, and CI

    Support pre-sales activities, including RFPs, proposals, and client communications

    Guide discussions on cloud data warehousing and machine learning platforms

    Provide technical support for vendor and third-party engagements

    Offer ongoing support for business and technology teams on platform strategy and quality assurance

    Requirements

    Bachelor’s degree in Computer Science, IT, or a related field

    Minimum 2 years of Databricks and 4 years of Azure experience (certifications preferred)

    Experience as a Data Architect / Engineer with hands-on expertise in Data Lakehouse, Data Lake, and Data Warehouse design

    Strong knowledge of Databricks, Data Lakes and Spark

    Strong experience with Azure Platform Services (Identities, Network, Storage)

    Proficiency with Azure Data Services, including Azure Data Factory, Azure SQL

    Experience with streaming data technologies like Databricks Streaming, Kafka, Azure Streaming Services

    Experience with Azure DevOps especially Azure Pipelines

    Proficiency in Python, PySpark, SQL

    Familiarity with DataOps

    Information

    Dóra Gosztola

    dora.gosztola@randstad.hu

    Hozzon létre álláshirdetést erre a keresésre

    Data Engineer • Budapest, Hungary