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    Data Integrations Engineer - United Kingdom - Abs Data

    Abs Data
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    Description
    Big Data Integration Engineer
    Saint-Gobain
    Position description Are you someone who is passionate about data and transformation?

    At Saint-Gobain Digital, we are looking for a Big Data Integration Engineer to work remotely to create customer and business value as part of a digital transformation.

    This Data Engineer will be a part of our enthusiastic Data team who strive to move our business forward and are proud to work for our us.

    This exciting role will see you being responsible for delivering robust interfaces of data for analytics projects and business reporting; ensuring quality, reconciliation and recoverability.

    On top of that, they will advise the business on the feasibility of solutions from existing data sources and potential new applications.

    Assist in implementing automated data integrations in partnership with Data Analytics, Data Science and business intelligence (BI) teams
    Delivery of high quality, responsive, efficient data platforms that are robust and scalable
    Development of data delivery including the ETL/ELT (Extract Transform Load / Extract Load Transform) layer, Data Modelling, Administration and Configuration
    Creation and modification of tables and views in layers of the data platform for consumption by BI Developers, analysts, and business users
    Define quality assurance procedures, review test plan scope, and ensure that appropriate evidence is captured for audit trail and effective peer review
    Responsible for building and maintaining reliable and scalable data pipelines on a big data platform
    Performing thorough data profiling, testing and validation in order to ensure the accuracy of data transformations and data verifications
    Analysis and documentation of business and technical requirements
    Work with ETL Partners in the delivery of or enhancement to Data Platforms
    Perform proactive monitoring of supported systems in order to identify any potential issues and minimise any potential disruption to the business
    Develop of supportable Interfaces, analytics projects and business reporting solutions
    Resolution of Data Issues in the Pipelines
    Experience of using data engineering tools – i


    e:

    Ability to ingest and process data from a variety of technology sources including flat files, traditional databases (SQL Server, Oracle), API's, unstructured data into a form suitable for analysis for both batch and streaming sets
    Working knowledge of data quality and data cataloguing tools (i.e Microsoft Purview)
    Demonstrated experience working with Microsoft Azure ADLS/Synapse/Synapse pipelines or similar technology
    Experience of large-scale data loading and transformation
    Good knowledge of Big Data querying tools
    Strong experience in data management (interface/migration/ETL/ELT/storage/reporting) working with large scale systems optimised for performance
    Good knowledge and understanding of relational databases and SQL querying skills, as well as NoSQL databases
    Experience of developing and maintaining databases with recognised physical and logical data models
    Understanding of the principles of Data Governance and GDPR, and the ability to incorporate them into designs
    Experience of reconciliation of data across systems, fault-diagnosis and resolution of data issues
    Experience of providing data services and support to business users and third parties
    Utilisation of a metadata system where all available data is maintained and catalogued
    Are Saint-Gobain and inclusive employer?
    Saint-Gobain is the worldwide leader in light and sustainable construction improving daily life through high-performance solutions.

    We understand that a diverse workplace is not only a more enjoyable place to be, but also facilitates better decision making and innovation.

    So, whoever you are, and whichever Saint-Gobain business you join, you can be sure of a warm welcome with us.

    At Saint-Gobain, we're always open to new ways of working.

    We'll happily discuss any need you might have for this rol

    e:

    flexible hours, job-sharing, part-time working, or anything else that matters to you. Big #Data #Integration #Engineer

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