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    Senior Cloud Data Engineer - Bangalore, India - Info Origin Inc

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    permanent Technology / Internet
    Description

    Job Description :


    As a Senior Cloud Data Engineer, you will play a crucial role in designing, developing, and optimizing data pipelines and solutions on cloud platforms.

    You will work closely with cross-functional teams to deliver scalable and efficient data solutions.


    Your primary responsibilities will include :

    Key Responsibilities :

    • Cloud Data Engineering : Design, develop, and maintain data pipelines, ETL processes, and data workflows on Azure Synapse, leveraging Azure Data Factory and other relevant services.
    • Python and PySpark : Utilize Python and PySpark for data processing and transformation tasks, ensuring data accuracy and performance.
    • Azure DevOps : Implement best practices for CI/CD pipelines, infrastructure as code, and automation to ensure a seamless and efficient development and deployment process.
    • Serverless Computing : Architect and build serverless data solutions using Azure Functions, AWS Lambda, or similar technologies for optimal resource utilization.
    • Data Governance : Implement data governance and data quality standards to ensure data integrity and compliance with regulatory requirements.
    • Performance Optimization : Continuously monitor and optimize data pipelines for scalability, performance, and cost efficiency.
    • Collaboration : Collaborate with data scientists, data analysts, and other stakeholders to understand their data requirements and provide data engineering support.
    • Documentation : Create and maintain technical documentation, including architecture diagrams, data flow diagrams, and standard operating procedures.
    • Mentorship : Provide guidance and mentorship to junior team members, fostering their growth and development.

    Qualifications :

    • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
    • 810 years of experience in data engineering and cloud solutions.
    • Proficiency in Azure Synapse, Azure Data Factory, and other Azure services.
    • Strong programming skills in Python and experience with PySpark.
    • Experience with Foundry or similar data management platforms.
    • Expertise in Azure DevOps practices and tools.
    • Knowledge of serverless computing and microservices architecture.
    • Strong problemsolving skills and the ability to work in a collaborative, fastpaced environment.
    • Excellent communication and interpersonal skills.
    • Azure certifications (e.g. Azure Data Engineer, Azure DevOps Engineer) are a plus.)


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