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Principal Engineer Data Platform
3 months ago
Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve.
We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.
Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St.
Louis, Bangalore, London, Melbourne, Taipei, and Tokyo.Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork.
From catered lunches and office celebrations to employee recognition events (pre and hopefully post-Covid) and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.
Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter @Netskope.About the role
Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.
The Data Platform team is uniquely positioned at the intersection of security, big data and cloud computing.We are responsible for providing ultra low-latency access to global security insights and intelligence data to our customers, and enabling them to act in near real-time.
Were looking for a seasoned engineer to help us build next-generation data pipelines that provide near real-time ingestion of security insights and intelligence data using open source messaging and stream processing engines (Kafka, Flink, Spark) to connecting sources to sinks (BigQuery, Mongo, etc), and RESTful APIs that allow programmatic access to the data.
What's in it for you
You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics.
You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills.
What you will be doing
Building next generation data pipelines to provide near real-time ingestion of security insights and intelligence data.
Architecting highly scalable data pipelines and solve real-time stream processing challenges at scale.
Partnering with industry experts in security and big data, product and engineering teams to conceptualize, design and build innovative solutions for hard problems on behalf of our customers.
Evaluating open source technologies to find the best fit for our needs and also contributing to some of them.Helping other teams architect their systems on top of the data platform and influencing their system design.
This is a great opportunity to work with smart people in a fun and collaborative environment.
Required skills and experience
15 years of industry experience building highly scalable distributed Data systems.
Programming experience in Python, Java or Golang.
Excellent data structure and algorithm skills.
Proven good development practices like automated testing, measuring code coverage.
Experience building real-time stream processing systems using engines like Flink, Spark or similar.
Experience with distributed datastores like Druid, Mongo, Cassandra, BigQuery or similar.
Excellent written and verbal communication skills.
Bonus points for contributions to the open source community.
Education
BSCS or equivalent required, MSCS or equivalent strongly preferred
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