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Principal Big Data Engineer

30+ days ago 2026/04/09
Other Business Support Services
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Job description

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.


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 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. 

Desired Qualifications
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


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