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    Data Engineer - Ahmedabad, India - TIGI HR ®

    TIGI HR ®
    TIGI HR ® Ahmedabad, India

    1 week ago

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    Description

    Position- Data Engineer

    Experience- 4-6 Years

    Budget- 9.00LPA

    Location - Ahmedabad

    Notice period- Immediate - 30 Days

    Roles & Responsibilities:

    • Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.
    •  Constructing infrastructure (on cloud - GCP) for efficient ETL processes from various sources and storage systems.
    •  Creating innovative data validation methods and data analysis tools.
    •  Ensuring compliance with data governance and security policies.
    •  Conducting complex data analysis and presenting results effectively.
    •  Continuously exploring opportunities to enhance data quality and reliability.

    Data Modeling:

    • o Create and maintain data models that support business requirements and data analytics.
    • o Ensure data structures are optimized for performance and scalability.

    Collaboration:

    • o Work closely with cross-functional teams, including data scientists, analysts, and business users, to understand data needs and provide effective solutions.
    • o Collaborate with IT Infra team and security teams to ensure infra availability, data privacy and compliance with security standards.

    Technology Knowledge:

    • ETL: Extract, Transform and Load: Develop, optimize, and maintain ETL processes to extract,

    transform, and load data from diverse sources into the Data Lake.

    • Implement data quality checks and ensure the reliability and accuracy of the end-to-end data flow pipelines from the data sources through ETL to GCP storage to Data Lakehouse layer to Qliksense.
    • Talend knowledge is a minimum.

    Datalake:

    • o Design, implement, and maintain our Data Lake architecture to ensure efficient storage, retrieval, and processing of large volumes of structured and unstructured data.
    • Collaborate with cross-functional teams to understand data requirements and implement solutions that meet business needs.
    • Dremio or Google BigQuery knowledge would be an added advantage.

    BI Integration:

    • o Integrate Business Intelligence tools with the Data Lake to provide stakeholders with meaningful insights and reports.
    • Collaborate with analysts and business users to understand reporting requirements and implement dashboards and visualizations.
    • QlikSense or Tableau knowledge would be an added advantage.

    Qualification and Skills:

    • Bachelor's degree in computer science, Information Systems, Data Science, or a related field.
    • Minimum 4-5 years of experience in data engineering space Proficient in SQL to perform data querying and manipulation.
    • Experience with data integration and ETL processes to extract, transform, and load data from various sources.
    • Excellent verbal and written communication skills to effectively convey insights and findings to internal and external stakeholders.
    • Strong problem-solving skills and the ability to find innovative solutions to business challenges through data visualization.
    • Collaborative mindset with the ability to work effectively in a team-oriented environment.
    • Strong analytical and critical-thinking skills to interpret data and draw meaningful conclusions
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