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    Solutionec - Data Engineering Architect - Informatica/Azure Data Factory - Bengaluru, India - Solutionec Pvt Ltd

    Solutionec Pvt Ltd
    Solutionec Pvt Ltd Bengaluru, India

    18 hours ago

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    Description


    We are seeking a seasoned Data Engineering Lead to join our team, focusing on leveraging data to drive strategic decisions within the pharmaceutical industry.

    The ideal candidate will possess a deep understanding of SQL Server, Snowflake, ETL technologies, and pharma datasets, along with proven experience in designing database architectures and leading a team of database engineers.

    Key Responsibilities :


    • Design and implement robust database architectures to integrate multisource data, ensuring reliability, scalability, and performance.
    • Lead and mentor a team of database engineers in the development and optimization of ETL processes using technologies such as Informatica, Alteryx, Azure Data Factory (ADF), and Talend.
    • Develop and maintain a deep understanding of pharma datasets, including market data, CRM data, promotional data, and prescription data, to support datadriven decisionmaking.
    • Collaborate with crossfunctional teams to understand data needs and deliver solutions that align with the organization's strategic goals
    • Ensure data integrity and compliance with industry standards and regulations.
    • Drive the adoption of best practices in data management, quality, and governance within the team and across the organization.
    • Stay abreast of the latest trends and technologies in data engineering and introduce innovative solutions to enhance business outcomes.
    Requirements :


    • Design and implement robust database architectures to integrate multisource data, ensuring reliability, scalability, and performance.
    • Lead and mentor a team of database engineers in the development and optimization of ETL processes using technologies such as Informatica, Alteryx, Azure Data Factory (ADF), and Talend.
    • Develop and maintain a deep understanding of pharma datasets, including market data, CRM data, promotional data, and prescription data, to support datadriven decisionmaking.
    • Collaborate with crossfunctional teams to understand data needs and deliver solutions that align with the organization's strategic goals
    .

    • Ensure data integrity and compliance with industry standards and regulations.
    • Drive the adoption of best practices in data management, quality, and governance within the team and across the organization.
    • Stay abreast of the latest trends and technologies in data engineering and introduce innovative solutions to enhance business outcomes.
    )
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