Big Data Engineering Specialist

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

We are seeking a talented Big Data Engineering Specialist to deliver roadmap features of our Enterprise TruRisk Platform which would help customers to measure, communicate and eliminate cyber risks effectively.

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 that processes over billions of transactions data per day.

This is a fantastic opportunity to be an integral part of a team building our next generation platform using Big Data & Micro-Services technology to leverage open-source technologies and work on challenging and business-impacting initiatives.

• Be the thought leader in data platform and pipeline along with risk evaluation to drive business growth.
• Provide technical leadership to the engineering organization on data platform design, roll out and evolution to meet business requirements.
• 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 to identify opportunities for innovation and improvement.
• Serve as a technical lead on our most demanding, cross-functional departments to ensure successful project delivery.
• Ensure the quality of architecture and design of systems to meet business needs.
• Functionally decompose complex problems into simple, straight-forward solutions to drive efficiency.
• Fully and completely understand system interdependencies and limitations to inform decision-making.
• Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices to drive excellence.
• Leverage knowledge of internal and industry prior art in design decisions to ensure alignment with business goals.
• Effectively research and benchmark cloud technology against other competing systems in the industry to identify opportunities for improvement.
• Able to document the details so it will be easy for developers to understand the requirements.
• Assisting developers with proper requirements and directions to drive productivity.
• 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 to drive team success.

• 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.