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Gurgaon

    Cloud Data Architect - Gurgaon/Gurugram/Bangalore, India - Huquo

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    permanent Technology / Internet
    Description
    Data Architecture and Cloud Strategy - MUST HAVE :

    Develop and maintain a comprehensive data architecture and cloud strategy that aligns with the organization's goals and needs.

    • Design, implement and manage cloudbased data infrastructure on AWS, ensuring scalability, reliability, and costefficiency.
    • Utilize AWS services (S3, Glue, EMR, Redshift, Lambda, Kinesis, etc.) to build and optimize data pipelines and storage solutions.
    • Champion the use of data warehouse architecture and optimize its performance for analytical and operational workloads.

    Data Engineering- MUST HAVE :

    • Guide data engineering teams to develop, maintain, and optimize ETL processes for data ingestion, transformation, and loading.
    • Work with the data engineers to set up data integration and unification using Talend or any other ETL tool.
    • Collaborate with data scientists and analysts to ensure data availability and quality, enabling effective analytics and reporting.

    Data Ingestion - MUST HAVE :

    • Architect and implement data integration solutions for API ingestion, enabling data from diverse sources to be captured, transformed, and ingested into our data warehouse.
    • Manage data integration pipelines to support realtime and batch data processing.

    Workflow Orchestration :

    • Design, configure, and maintain workflow orchestration using Talend Management Console or Apache Airflow to automate ETL processes and data pipeline executions.
    • Monitor and optimize job scheduling, error handling, and performance of data workflows.

    Security and Compliance :

    • Implement data security protocols, access controls, and encryption to safeguard sensitive data.
    • Ensure compliance with data privacy regulations and industry standards.

    Collaboration and Documentation :

    • Collaborate with crossfunctional teams to understand data requirements and provide data solutions to meet their needs.
    • Maintain comprehensive documentation for data engineering and data architecture processes and solutions.

    Infra & Operations :

    • Guide the team in setting up cloud Infra and automations.
    • Guide the operations team in setting up automated monitoring & alerts mechanism.

    Qualifications :

    • Bachelor's or higher degree in a relevant field.
    • 5+ years of proven experience in data engineering, cloud architecture, and AWS services.
    • Extensive knowledge of data warehouse/data lake technologies, Redshift, Lambda, S3, Talend, Glue, Apache Airflow, Git.
    • Strong expertise in programming languages like SQL, Python, and working experience in processing frameworks like PySpark etc.
    • Strong expertise in realtime data processing.
    • Excellent problemsolving and analytical skills.
    • Strong communication and teamwork abilities.
    AWS Architect Data Engineering certificate - Good to have
    )

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