Data Engineer Full Remote

Angajator: Hunt Recruitment
Domeniu:
  • IT Software
  • Tip job: full-time
    Nivel job: 1 - 5 ani experienta
    Orase:
  • BUCURESTI
  • Actualizat la: 04.10.2022
    Scurta descriere a companiei

    Hunt Recruitment is an executive search and head hunting company, with a young team of passionate professionals.
    You will find in Hunt your ideal partner in understanding what a pleasant, fast and friendly recruitment process looks like.

    Eager to start or further develop your career in recruitment? You have found the right place! :)

    Cerinte

    Requirements
     Azure Databricks experience using Python, PySpark and Delta Tables
     Azure Data Factory experience
     Azure SQL Database experience
     Azure Data Lake Storage experience
     Azure DevOps experience in building yaml reusable pipelines

    The candidate profile:
     The candidate profile:
     Client / user oriented
     Client / user oriented
     Love to experiment and learn
     Love to work with data, see the patterns there and offer a vantage point
     Enjoy building reusable high performing components
     Enjoy working in an Agile (Scrum) team
     Hands on data engineering experience
     Experience and interest in understanding the business (Insurance and pensions domain)
     Proactive approach to problem-solving
     Good command of spoken and written English
    Nice to have
     Power BI knowledge/experience
     Azure Functions knowledge
     Azure Synapse Analytics experience

    Responsabilitati

     As an Azure Data Engineer, you will be working in a highly engaged Data Platform team
     Support the planning and implementation of data platform features including sizing, configuration, technology assessment, security and infrastructure assessment and implementation and data needs assessment
     Design and build modern frameworks to streamline date into the different layers of the data platform
     Deliver CI/CD pipelines to deploy the different components of the platform
     Support the good functioning of the platform
     Continuously improve performance and optimize costs