Company
SeniorBigDataEngineer
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optimal for Senior candidates.
“Senior Big Data Engineer. Skills: Big Data, Spark, Kafka, Data lakes, Micro-services, RDBMS/NoSQL, architecture. deliver roadmap features of Enterprise TruRisk Platform. prototyping”
What You'll Achieve.
deliver roadmap features of Enterprise TruRisk Platform which would help customers to Measure, Communicate and Eliminate Cyber Risks; building Qualys next generation platform using Big Data & Micro-Services based technology to process over billions of transactions data per day
Industry & Context.
Functionally decompose complex problems into simple, straight-forward solutions; Fully and completely understand system interdependencies and limitations; troubleshooting skills
What They're Looking For.
Must Have
6+ years of total experience, 2+ 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 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, experience in doing performance benchmarking testing for Big data technologies, troubleshooting skills, Experience leading development life cycle process and best practices, Experience with Agile Management (SCRUM, RUP, XP), OO Modeling, working on internet, UNIX, Middleware, and database related projects
Nice to Have
Experience in Big Data services administration would be added value, Experience mentoring/training the engineering community on complex technical issue, Project management experience
What You'll Do.
deliver roadmap features of Enterprise TruRisk Platform
supporting a highly scalable
distributed SaaS based Security Risk Prioritization product
Be the thought leader in data platform and pipeline along with Risk Evaluation
Provide technical leadership on data platform design
roll out and evolution
Drive technology explorations and roadmaps
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
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
Design and implement secure big data clusters to meet many compliances and regulatory requirements
leading the delivery of large-scale systems focused on managing the infrastructure layer of the technology stack
doing performance benchmarking testing for Big data technologies
leading development life cycle process and best practices
How You'll Work.
Team & Collaboration
Working with a team of engineers and architects; Liason to product teams, professional services and sales engineers on solution and trade-off reviews; represent engineering in such conversations; Serve as a technical lead on our most demanding, cross-functional departments; Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience; 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
Communication Scope
Able to document the details so it will be easy for developers to understand the requirements; Able to share knowledge and train others
Process & Methodology
Project management experience
Full Job Description
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! _Description:_ We are seeking a talented Sr. 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
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