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    It Senior Lead Data - São Paulo, Brasil - Knewin

    Knewin
    Knewin São Paulo, Brasil

    há 3 semanas

    Default job background
    Descrição

    Work Flexibility:
    Hybrid Who we want Data managers. People who enjoy compiling, organizing and consolidating large volumes of data and reports.
    Data translators. Highly effective communicators who can transform data findings into recommendations to compose reports and executive level presentations.
    Analytical problem solvers.

    People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues.

    User-focused creators. People who imagine with the user in mind, developing technology that helps change patients' lives.
    Goal-oriented developers. Keeping the customer and requirements squarely in focus, people who deliver safe and robust solutions.

    What you will do Build and maintain the infrastructure required for ETL of data from a wide variety of data sources using SQL and big data technologies.

    Collaborate with IT and Data Analytics teams to manage and oversee the deployment of data to the data warehouse.

    Develop data set processes for data modeling, mining, and production.
    Utilize large data sets to address business issues.
    Collaborate with IT stakeholders to understand data needs and deliver comprehensive data solutions.
    Develop processes for data modeling, mining, and production to ensure data accuracy and quality.

    Implement systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes.

    Educate and train stakeholders on data consumption best practices to improve company-wide data fluency and decision-making.
    What you need Bachelor's in Business Administration or Computer Information Systems preferred.
    English and Spanish advanced proficiency required
    5+ years of experience anddemonstrated knowledge Business Intelligence, Data Warehouse, and data & analytics platforms.
    Solid understanding and knowledge of Azure Synapse, PowerBI, Databricks, Azure Data Lake, and other related technologies.
    Good knowledge of ERP systems and data integration platforms.
    Strong understanding of modern data storage and evolution (Data Lake, Delta Lake, Lakehouse, etc.)
    Strong experience in performance tuning and optimizations in PySpark and SQL


    Travel Percentage:
    None

    #J-18808-Ljbffr
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