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  • Data Engineer
    Data

    Data Engineer

    Warszawa
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      ETL

      regular

      Python

      regular

      SQL

      regular

      Azure Synapse

      regular

      Power BI

      regular

      .Net

      regular

    Job description

    Online interview

    We are looking for an experienced specialist as a Data Engineer- who will join the support in the Digital Products team


    Workplace: 100% remote

    Rate: PLN 160/h

    Required experience: min. 3/4 years

    started: ASAP

    Project duration: min. 6 months to 12 months with extension


    Your responsibilities

    Designing and building new functionalities and solutions to client use cases.Utilize your extensive experience in Cloud technologies (Azure Functions, Azure Synapse, etc.) to build end-to-end solutions.

    Building data platform required for optimal loading of data from a wide variety of data sources.

    Data modelling and mapping between source and target systems.

    Defining and estimating scope of work needed for implementation of data systems.

    Gathering, documenting and validating business requirements for Data systems


    Requirements:

    Very good English language in verbal and written communication.

    Excellent communication skills to interact with a range of stakeholders.

    At least bachelor’s degree, preferably in engineering, computer science or similar.

    3-6 years of experience in business/systems analysis role, gathering requirements, conducting workshops with business users, data modelling.


    Frontend Development and partly Backend Development, concept and technical development of the applications using such modern technologies as .NET, Angular, HTML & CSS. Focus on UX/UI design

    Azure Synapse, including data management & data transformation, also automation tasks using Python, PySpark, SQL. Data visualization and reporting tasks using Power BI.

    Data Engineering, including, building ETL processes, developing or/and adjusting Data Pipelines (Azure Synapse)


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