Principal Big Data Engineer

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!This is a great opportunity to be an integral part of a team building Qualys next generation Micro-Services based technology platform processing over a Billion transactions and terabytes of data per day, leverage open source technologies, and work on challenging and business-impacting projects.Responsibilities:As a Principal Big Data Engineer, you will be responsible for developing a cutting-edge, scalable application which is being used by millions of customers worldwide. This position offers you an opportunity to work with world-class engineers and build resilient features to support next generation of Asset Management product in the cloud. The work involves complete ownership from a delivery perspective, including design, architecture, development, operations, and end-to-end support/maintenance of our systems. You will become the face of the team from a feature standpoint on all technical aspects. You will be responsible for guiding and mentoring other talented engineers on your team on highly complex projects and responsible for hiring new engineers/interns.Requirements:Excellent programming and designing skills with 11-15+ years of hands-on experience in Java back-end development and skills with Spring-boot framework.Should be able to independently design moderate to a complex modules with solid code qualityUnderstand data structures and algorithmsInnovative thinker and adept at building high-performance applicationMessaging middleware using Kafka .Strong Java programming skills including object-oriented design, prototyping, development, testing, profiling, etc.Knowledge of Docker, Kubernetes, Jenkins, and related CI/CD toolsAbility and skill to debug & solve complex issues in a high-performing environment7+ years of relevant experience in design and architecture Big Data solutions using Spark 5+ years experience in working with engineering resources for innovation. 5+ years experience in understanding Big Data events flow pipeline. 5+ years experience in performance testing for large infrastructure. 5+ In depth experience in understanding various search solutions solr/elastic. 7+ 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. Desired QualificationsBachelor / Master's degree in Computer Science Engineering (M.E / M.Tech, B.E / B.Tech) and 11 to 15 years of previous experience in the job offered, or as a Principal Big Data Engineer, Lead Big Data Engineer, or a similar related role

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