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    Data Engineer - Bengaluru, India - Excellence and Eminence LLP

    Excellence and Eminence LLP
    Excellence and Eminence LLP Bengaluru, India

    2 days ago

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    Description

    About the Role:


    We are seeking a talented and motivated Data Engineer to join our team and play a crucial role in building and maintaining our data infrastructure.

    This role is ideal for a candidate with a strong foundation in data engineering principles and experience working with data pipelines and Design, develop, and implement data pipelines for efficient data extraction, transformation, and loading (ETL) processes.


    • Utilize scripting languages (Python, SQL) and tools (e.g., Apache Airflow, Luigi) to automate data workflows.
    • Work with various data sources (databases, APIs, flat files) to extract and integrate data.
    Clean, transform, and validate data to ensure its quality and usability for analysis.

    • Design and implement data models for efficient data storage and retrieval in data warehouses (e.g., Snowflake, Redshift).
    • Collaborate with data analysts and data scientists to understand data requirements and build solutions.
    • Perform data quality checks and monitoring to identify and resolve data issues.
    • Participate in the development and implementation of data security best practices.
    • Stay uptodate with the latest advancements in data engineering technologies and tools.

    Requirements :

    • 14 years of experience in data engineering or a related field.
    • Strong programming skills in Python and/or SQL (familiarity with other scripting languages is a plus).
    • Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift).
    • Understanding of data ETL processes and data pipeline development.
    • Familiarity with data quality principles and data cleaning techniques.
    • Experience with cloud platforms (AWS, Azure, GCP) is a plus.
    • Excellent problemsolving and analytical skills.
    • Effective communication and collaboration skills to work effectively with crossfunctional teams.
    • Eagerness to learn and adapt to new technologies in the data engineering landscape.
    )
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