Big Data Architect

Engineering Requisition ID 5390 Pune, India

Description

Description: 

We are seeking a talented Big Data Architect to help build next generation Security Analytics product from ground-up. 

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

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 100 million transactions and terabytes of data per day, leverage open-source technologies, and work on challenging and business-impacting projects. 

We are looking for a talented, self-motivated and passionate engineer who can work and support by working with other team to excellence and achieve business objectives. 

Responsibilities: 

  • Be the thought leader in data platform and pipeline. 
  • 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. 
  • Contribute intellectual property through patents. 
  • 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 
  • 10 to 12+ years of total experience. 
  • 5+ years of relevant experience in design and architecture Big Data solutions 
  • 5+ years' experience in understanding Big Data events flow pipeline. 
  • 3+ years' experience in working with engineering resources for innovation. 
  • 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  
  • 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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