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    Lead Big Data Engineer - Pune, India - Qualys

    Qualys
    Qualys background
    Description

    We are seeking a talented Lead 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:

    • Be the thought leader in data platform and pipeline along with Risk Evaluation.
    • Provide technical leadership to the engineering organization on data platform design, roll out and evolution.
    • Liason to product teams, professional services and sales engineers on solution and trade-off reviews and represent engineering in such conversations.
    • Drive technology explorations and roadmaps.
    • Serve as a technical lead on our most demanding, cross-functional departments.
    • Ensure the quality of architecture and design of systems.
    • 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.
    • Able to document the details so it will be easy for developers to understand the requirements.
    • Assisting developers with proper requirements and directions.
    • Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members.
    • Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience.
    • Able to share knowledge and train others.

    Qualifications:

    • Bachelor's degree in computer science or equivalent
    • 8+ years of total experience.
    • 4+ years of relevant experience in design and architecture Big Data solutions using Spark
    • 3+ years experience in working with engineering resources for innovation.
    • 4+ years experience in understanding Big Data events flow pipeline.
    • 3+ years experience in performance testing for large infrastructure.
    • 3+ In depth experience in understanding various search solutions solr/elastic.
    • 3+ years experience in Kafka
    • In depth experience in Data lakes and related ecosystems.
    • In depth experience of messing queue
    • In depth experience in giving requirements to build a scalable architecture for Big data and Micro-services environments.
    • In depth experience in understanding caching components or services
    • Knowledge in Presto technology.
    • Knowledge in Airflow.
    • Hands-on experience in scripting and automation
    • In depth 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.
    • Design and implement secure big data clusters to meet many compliances and regulatory requirements.
    • Experience in leading the delivery of large-scale systems focused on managing the infrastructure layer of the technology stack.
    • Strong experience in doing performance benchmarking testing for Big data technologies.
    • Strong troubleshooting skills.
    • Experience leading development life cycle process and best practices
    • Experience in Big Data services administration would be added value.
    • Experience with Agile Management (SCRUM, RUP, XP), OO Modeling, working on internet, UNIX, Middleware, and database related projects.
    • Experience mentoring/training the engineering community on complex technical issue.
    • Project management experience

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