Big Data Leader Wanted

Big Data Leader Wanted

Role Overview:

As a highly skilled Big Data Engineer, you will be responsible for leading the development and implementation of large-scale data processing systems. Your expertise in design and architecture of Big Data solutions using Spark will be crucial in delivering roadmap features of our Enterprise TruRisk Platform.

Working closely 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 an exciting opportunity to be 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.

Key Responsibilities:

• Lead the data platform and pipeline along with Risk Evaluation.
• Provide technical leadership to the engineering organization on data platform design, roll out, and evolution.
• Liaison 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.

• Bachelor's degree in computer science or equivalent.
• 8+ years of total experience.
• 4+ years of relevant experience in design and architecture of 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.

As a valued member of our team, you can expect a comprehensive compensation package that includes competitive salary, excellent benefits, and opportunities for growth and development.