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    Data Engineer - Ahmedabad, India - TIGI HR ®

    TIGI HR ®
    TIGI HR ® Ahmedabad, India

    5 days ago

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    Description
    Position- Data Engineer

    Experience-3-6 Years

    Budget- 10 LPA

    Notice period- immediate - 30 Days

    Location- Ahmedabad


    Responsibilities:

    • Design and build optimized data pipelines using cuttingedge technologies in a cloud environment (GCP) for analytical insights.
    • Construct cloud infrastructure for efficient ETL processes from various sources and storage systems.
    • Create innovative data validation methods and analysis tools, ensuring compliance with data governance and security policies.
    • Conduct complex data analysis and present results effectively, continuously enhancing data quality and reliability.

    Data Modeling:

    • Create and maintain data models supporting business requirements and analytics, optimizing for performance and scalability.

    Collaboration:

    • Work closely with crossfunctional teams, including data scientists, analysts, and business users, to understand data needs and provide effective solutions.
    • Collaborate with IT Infra and security teams to ensure infrastructure availability, data privacy, and compliance with security standards.

    Technology Knowledge:

    • Develop, optimize, and maintain ETL processes for data extraction, transformation, and loading into the Data Lake.
    • Implement data quality checks and ensure the reliability and accuracy of endtoend data flow pipelines from sources through ETL to GCP storage and Data Lakehouse layer to QlikSense.
    • Knowledge of Talend, Dremio, or Google BigQuery is a plus.
    • Design, implement, and maintain Data Lake architecture for efficient storage, retrieval, and processing of large data volumes.
    • Integrate Business Intelligence tools (QlikSense or Tableau) with the Data Lake to provide meaningful insights and reports.

    Qualifications and Skills:

    • Bachelor's degree in Computer Science, Information Systems, Data Science, or related field.
    • Minimum 45 years of experience in data engineering.
    • Proficient in SQL for data querying and manipulation.
    • Experience with data integration and ETL processes.
    • Excellent verbal and written communication skills.
    • Strong problemsolving and criticalthinking skills.
    • Collaborative mindset and ability to work effectively in a team environment.
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