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    Big Data Engineer - pune, India - Qualys

    Qualys
    Qualys pune, India

    5 days ago

    Qualys background
    Description

    We are seeking a talented Big Data Engineer to deliver roadmap features of Enterprise TruRisk Platform which would help customers to Measure, Communicate and Eliminate Cyber Risks.

    Working with a team of engineers and architects, you will be responsible for prototyping, designing, developing and supporting a highly scalable, distributed SaaS based Security Risk Prioritization product.

    This is a fantastic opportunity to be an integral part of a team building Qualys next generation platform using Big Data & Micro-Services based technology to process over billions of transactions data per day, leverage open-source technologies, and work on challenging and business-impacting initiatives.

    Responsibilities:

    • Liason to product teams, professional services and sales engineers on solution and trade-off reviews and represent engineering in such conversations.
    • Support the team in technology explorations and roadmaps.
    • Functionally decompose complex problems into simple, straight-forward solutions.
    • Fully and completely understand system interdependencies and limitations.
    • Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices.
    • Leverage knowledge of internal and industry prior art in design decisions.
    • Effectively research and benchmark cloud technology against other competing systems in the industry.

    Qualifications:

    • Bachelor's degree in computer science or equivalent
    • 2+ years of total experience.
    • 2+ years of relevant experience in design and architecture Big Data solutions using Spark
    • 2+ years experience in working with engineering resources for innovation.
    • 2+ years experience in understanding Big Data events flow pipeline.
    • 2+ years experience in performance testing for large infrastructure.
    • Understanding various search solutions solr/elastic.
    • Understanding in Kafka
    • Knowledge in Presto technology.
    • Knowledge in Airflow.
    • Hands-on experience in scripting and automation
    • Understanding of RDBMS/NoSQL, Oracle , Cassandra , Kafka , Redis, Hadoop, lambda architecture, kappa , kappa ++ architectures with flink data streaming and rule engines
    • Experience in working with ML models engineering and related deployment.
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