Lead Big Data Engineer

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

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 modelsengineering 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