Principal Big Data Engineer

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 quality
• Understand data structures and algorithms
• Innovative thinker and adept at building high-performance application
• Messaging 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 tools
• Ability and skill to debug & solve complex issues in a high-performing environment
• 7+ 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.
• Bachelor / 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

Additional Information

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! 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.

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