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    Data Architect - New Delhi, India - Squareroot Consulting Pvt Ltd

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    permanent Technology / Internet
    Description

    Job Description :


    We are seeking a highly skilled and motivated experienced Data Architect to join our dynamic team with expertise in Scala, Kafka, Spark, Big Data, and Batch Processing.


    As a Data Architect, you will play a crucial role in designing, implementing, and maintaining the data architecture that supports our organization's data-driven initiatives.

    Your expertise in Scala, Spark, and Kafka will be essential in building scalable and efficient data processing solutions.

    Key Responsibilities :

    Data Architecture Design :

    - Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient data architecture solutions.

    • Design endtoend data pipelines and architectures that support data integration, processing, and analytics.
    Scala, Spark, and Kafka Expertise :

    • Utilize your strong proficiency in Scala programming language to develop robust and scalable data processing applications.
    • Design and implement Sparkbased solutions for largescale data processing and analytics.
    • Implement and optimize Kafka for realtime data streaming and eventdriven architectures.
    Data Modeling :


    • Develop and maintain conceptual, logical, and physical data models to ensure data consistency, integrity, and availability.
    • Design data structures that support both operational and analytical requirements.
    Data Governance and Security :

    - Establish and enforce data governance policies to ensure the quality, accuracy, and security of data.

    • Implement security measures to protect sensitive data and comply with relevant regulations.
    Collaboration and Communication :

    - Work closely with data engineers, analysts, and other stakeholders to understand data requirements and provide guidance on best practices.

    • Communicate complex technical concepts to nontechnical stakeholders in a clear and understandable manner.
    Performance Optimization :

    - Identify and implement optimizations to improve the performance and efficiency of data processing pipelines.

    • Troubleshoot and resolve issues related to data processing and integration.
    Qualifications :


    • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
    • Proven experience as a Data Architect with a focus on Scala, Spark, and Kafka.
    • Strong proficiency in Scala programming language.
    • Indepth knowledge of Apache Spark for largescale data processing.
    • Experience in designing and implementing Kafkabased data streaming solutions.
    • Understanding of data governance principles and security best practices.
    • Excellent communication and collaboration skills.
    Preferred Skills :


    • Certification in Scala, Spark, or Kafka.
    • Experience with cloudbased data platforms (e.g., AWS, Azure, GCP).
    • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
    • Familiarity with machine learning and advanced analytics
    )

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