Company
SeniorBigDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Big Data Engineer. Skills: Big Data, Spark, Kafka, Architecture. Deliver roadmap features. Prototype, design, develop, and support SaaS product”
What You'll Achieve.
Deliver roadmap features; help customers to Measure, Communicate and Eliminate Cyber Risks; building Qualys next generation platform; process over billions of transactions data per day; increasing their productivity and effectiveness
Industry & Context.
Functionally decompose complex problems into simple, straight-forward solutions; 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, Experience mentoring/training the engineering community on complex technical issue
Nice to Have
Experience in Big Data services administration would be added value, Project management experience
What You'll Do.
Deliver roadmap features
and support SaaS product
Process billions of transactions data
Leverage open-source technologies
Be thought leader in data platform
Provide technical leadership
Drive technology explorations
Serve as technical lead
Ensure quality of architecture
Functionally decompose complex problems
Understand system interdependencies
Possess expert knowledge
Leverage knowledge of prior art
Research and benchmark cloud technology
Document details for developers
Assist developers with requirements
Assist in career development
Exert technical influence
Share knowledge and train others
How You'll Work.
Team & Collaboration
Work with a team of engineers and architects; Liason to product teams, professional services and sales engineers; Represent engineering in conversations; Serve as a technical lead on cross-functional departments; Exert technical influence over multiple teams; Assist in the career development of others; Mentoring individuals and the community
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
Applying for this Senior Big Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about this company?
Real rants from real employees. Read before you apply.