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.

- 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 :

- Bachelors degree in computer science or equivalent

- 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.

- 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