SR. SOFTWARE ENGINEER, CLOUD DATA BACKEND

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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

• 4+ 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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