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.
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
:
Bachelor’s 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
