About Netskope

　　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, 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.

　　As a Staff Engineer on the Data Engineering Team you'll be working on some of the hardest problems in the field of Data, Cloud and Security with a mission to achieve the highest standards of customer success. You will be building blocks of technology that will define Netskope's future. You will leverage open source Technologies around OLAP, OLTP, Streaming, Big Data and ML models. You will help design, and build an end-to-end system to manage the data and infrastructure used to improve security insights for our global customer base.

　　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 Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills.

　　What you will be doing

　　Conceive and Build services used by Netskope products to validate, transform, load and perform analytics of large amounts of data using distributed systems with cloud scale and reliability. Help other teams architect their applications using the services from the Data team, using best practices and sound designs. Evaluate many open source technologies to find the best fit for our needs, and contribute to some of them. Work with the Application Development and Product Management teams to scale their underlying services Provide easy-to-use analytics of usage patterns, anticipate capacity issues, help with long term planning Learn about and design large-scale, reliable enterprise services. Work with great people in a fun, collaborative environment. Create scalable data mining and data analytics framework using cutting edge tools and techniques

　　Required skills and experience

　　8+ 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. Proven experience developing complex Data Platforms and Solutions using Technologies like Kafka, Kubernetes, MySql, Hadoop, Big Query and other open source databases Experience designing and implementing large, fault-tolerant and distributed systems around columnar data stores. 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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　　Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

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