Staff Engineer, Data - Netskope Taiwan｜Meet.jobs

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, 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.

Netskope recently acquired a startup called Kloudless (科迪股份有限公司), which is now Netskope’s subsidiary in Taiwan. The Kloudless team has been integrated into Netskope’s product and engineering teams, and its technology powers SaaS protection products in the Netskope Security Cloud.

With a mission to evolve security for the way people work, Netskope, a cloud security company, was founded by early architects and distinguished engineers from security and networking leaders like Palo Alto Networks Juniper Networks, Cisco, and VMware.

We are looking for skilled engineers with eyes for building and optimizing distributed systems. From data ingestion, processing, storage optimization, we work closely with engineers and the product team to build highly scalable systems that tackle real world data problems. Our customers depend on us to provide accurate, real-time, and fault tolerant solutions to their ever growing data needs. The senior level engineer position is a highly technical position with responsibility to lead the development, validation, publishing, and maintenance of logical and physical data models which support various OLTP and analytics environments.

Role and Responsibilities:

• Designs and implements planet scale distributed data platform, services and frameworks including solutions to address high-volume and complex data collections, processing, transformations and analytical reporting
• Work with the application development team to implement data strategies, build data flows and develop conceptual data models
• Understand and translate business requirements into data models supporting long-term solutions
• Analyze data system integration challenges and propose optimized solutions
• Research to identify effective data designs, new tools and methodologies for data analysis
• Provide guidance and expertise to development community in effective implementation of data models and building high throughput data access services
• Provide technical leadership in all phases of a project from discovery and planning through implementation and delivery

Qualifications:

• At least 5 years of hands-on experience in architecture, design or development of enterprise data solutions, applications, and integrations
• Ability to conceptualize and articulate ideas clearly and concisely
• Excellent communication, presentation and interpersonal skills
• Bachelor or Master degree in STEM majors
• Strong algorithms, data structures, and coding background with either Java, Python or Scala programming experience
• Exceptional proficiency in SQL
• Experience building products using 1 of the each following distributed technologies:
 Relational Stores (i.e. Postgres, MySQL or Oracle) 
   
• Columnar or NoSQL Stores (i.e. Big Query, Clickhouse, or Redis) 
    
• Distributed Processing Engines (i.e. Apache Spark, Apache Flink, or Celery) 
   
• Distributed Queues (i.e. Apache Kafka, AWS Kinesis or GCP PusSub)
• Experience with software engineering standard methodologies (e.g. unit testing, code reviews, design document)
• Experience working with GCP, Azure, AWS or similar cloud platform technologies a plus