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    Data Engineer - bangalore, India - C5i

    C5i
    C5i bangalore, India

    3 weeks ago

    Default job background
    Upper Management / Consulting
    Description

    The Data Engineer will be responsible for designing, building, and maintaining data pipelines and infrastructure that enable efficient and accurate data processing.

    The Data Engineer will work closely with data scientists, analysts, and project teams to ensure data is accessible, reliab

    The Data Engineer will be responsible for designing, building, and maintaining data pipelines and infrastructure that enable efficient and accurate data processing.

    The Data Engineer will work closely with data scientists, analysts, and project teams to ensure data is accessible, reliable, and optimized for performance.


    Responsibilities:
    Design, build, and maintain scalable and efficient data pipelines and infrastructure. Collaborate with data scientists and analysts to understand data requirements and ensure data accuracy and completeness.
    Implement and maintain data modelling best practices to support business needs.
    Ensure data quality and consistency across multiple sources and platforms.
    Troubleshoot and optimize data pipeline performance and resolve data processing issues.
    Maintain documentation related to data pipeline architecture and processes. Stay up to date with the latest data engineering technologies and best practices.
    le, and optimized for performance.

    Responsibilities:
    Design, build, and maintain scalable and efficient data pipelines and infrastructure. Collaborate with data scientists and analysts to understand data requirements and ensure data accuracy and completeness.
    Implement and maintain data modelling best practices to support business needs.
    Ensure data quality and consistency across multiple sources and platforms.
    Troubleshoot and optimize data pipeline performance and resolve data processing issues.
    Maintain documentation related to data pipeline architecture and processes. Stay up to date with the latest data engineering technologies and best practices.

    Requirements & Qualifications:
    Solid hands-on experience with SQL
    Experience in MS SQL Server (SSMS), SQL Server Integration Services (SSIS) and SQL Server JobAgent

    Processing:
    Databricks Spark Engine;

    Data Scheduling:
    Airflow
    Knowledge of Data Governance, CI CD
    Strong understanding of data modeling and database design.
    Proficient in SQL
    Experience with code collaborations using tools such as Gitlab, or GitHub Excellent problem-solving and analytical skills.
    Strong communication and collaboration skills.
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