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    Senior Data Engineer - Mumbai, India - Grorapid labs

    Grorapid labs
    Grorapid labs Mumbai, India

    1 day ago

    Default job background
    Description
    Job Bachelor's or advanced degree in Computer Science, Information Technology, or related field.

    • Proven experience as a Back-End Data Engineer or similar role.
    • Proficiency in database design and management (e.g., SQL, NoSQL).
    • Strong programming skills in languages such as Python, Java, or Scala.
    • Experience with ETL tools and data integration processes.
    • Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their data services.
    • Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
    • Excellent problemsolving and analytical skills.
    • Strong communication and collaboration skills.

    Position Overview:


    As a Back-End Data Engineer, you will play a crucial role in designing, implementing, and maintaining the back-end infrastructure that supports our data ecosystem.

    You will work closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure efficient data processing, storage, and retrieval.

    The ideal candidate is not only technically proficient but also possesses a deep understanding of data modeling, database architecture, and data Database Design and Maintenance:


    • Design and implement scalable, highperformance database schemas and structures.
    • Optimize and maintain existing database systems for efficiency and reliability.

    Data Pipeline Development:

    • Develop and maintain robust ETL (Extract, Transform, Load) processes for efficient data movement and transformation.
    • Collaborate with data scientists and analysts to understand data requirements and implement solutions accordingly.

    Back-End Infrastructure:

    • Build and manage the backend infrastructure that supports data storage, retrieval, and processing.
    • Ensure the security, integrity, and availability of data at all times.

    Collaboration:

    • Work closely with crossfunctional teams to understand data needs and contribute to the development of data driven solutions.
    • Collaborate with frontend developers to integrate back end data systems with user interfaces.

    Performance Optimization:

    • Identify and resolve performance bottlenecks in data processing and storage.
    • Continuously monitor system performance and implement improvements as needed.

    Documentation:

    • Create and maintain comprehensive documentation for database schemas, ETL processes, and system architecture.
    • Provide training and support to other team members on datarelated technologies and best practices.
    )
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