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    Senior Cloud Data Engineer - INdore, India - Talent-Max Consultant

    Talent-Max Consultant
    Talent-Max Consultant INdore, India

    1 day ago

    Default job background
    permanent Technology / Internet
    Description

    Job Role :
    Sr Cloud Data Engineer


    Job Location :
    Remote

    Working Timings : 3 PM - 12 AM (IST)


    Joining :
    Earlier the best


    Employment :
    Full Time


    Specifications :

    Designation :
    Cloud Data Engineer


    Qualifications :
    BE/MCA or equivalent

    Experience : 7-10 Years


    Desired Job attributes :

    • 07+ years' experience in Alteryx & GCP.
    • Experience with SSIS.
    • Handson experience using Talend.
    • Proven experience working with SQL Server Integration Services (SSIS) and SQL Server Management Studio (SSMS).
    • Proficiency in SQL programming, T-SQL, stored procedures, and database querying.
    • Strong understanding of data warehousing concepts, ETL best practices, and database administration.
    • Experience in optimizing and tuning ETL processes and SQL queries for performance.
    • Ability to manage SQL Server databases, including monitoring, backup, and recovery.
    • Excellent problemsolving skills with the ability to analyze complex data and databaserelated issues.
    • Strong communication and collaboration skills to work effectively with crossfunctional teams and stakeholders.
    • Certifications such as

    Microsoft Certified:
    Data Engineer or similar will be a plus.

    • Nice to have Skills: Alteryx

    Roles and Responsibilities :

    • Design, develop, and implement ETL processes using SQL Server Integration Services (SSIS) for efficient data extraction, transformation, and loading.
    • Utilize SQL Server Management Studio (SSMS) for database administration tasks including performance tuning, monitoring, and maintenance.
    • Collaborate with stakeholders to gather requirements and translate them into technical specifications for data integration solutions and database structures.
    • Create and manage database objects, including tables, views, stored procedures, and triggers, ensuring data integrity and optimal performance.
    • Optimize and tune ETL processes and database queries for performance and scalability, ensuring data accuracy and reliability.
    • Develop and implement data quality standards, data cleansing, and validation procedures.
    • Perform troubleshooting, debugging, and resolution of datarelated issues in production environments.
    )
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