Job Description

We are looking for skilled engineers with an eye for building and optimizing distributed systems to join our team. From data ingestion, processing to edge computing, we work closely with other engineers and Product Management to build consistent and highly available systems that tackle real world data problems. Our customers both internal and external depend upon us to provide accurate, real-time, and fault tolerant solutions to their ever growing data needs. The senior 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 environment.

Role and Responsibilities:

Designs and implements cloud scale distributed data-focused Data Platform, services and frameworks including solutions to address high-volume and complex data collection, processing, transformation and reporting for analytical purposes
Work with the application development team to implement data strategies, build data flows and develop conceptual data models
Understand and translate business needs into data models supporting long-term solutions
Develop best practices for standard naming conventions and coding practices to ensure consistency of data models
Analyze data-related system integration challenges and propose appropriate 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 better data access services
Work through all stages of a data solution life cycle: analyze/profile data, create conceptual, logical & physical data model designs, derive reporting and analytics solutions
Evaluate existing data and physical databases for variances and discrepancies
Participate in data strategy and road map exercises, data architecture definition, business intelligence, data lake tool selection, design and implementation
Provide technical leadership in all phases of a project from discovery and planning through implementation and delivery

Qualifications:

At least 8 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
Demonstrable experience in developing, validating, publishing, maintaining logical and physical data models
Excellent communication, presentation and interpersonal skills
Hands-on experience with modern enterprise data architectures and data toolsets (ex: data warehouse, data marts, data lake, 3NF and dimensional models, modeling tools, profiling tools)
Strong algorithms, data structures, and coding background with either Java, Python, GO or Scala programming experience
Exceptional proficiency in SQL
Experience building products using 1 of the each following distributed technologies:
Relational Stores (i.e Postgres or MySQL or Oracle)
Columnar or NoSQL Stores (i.e Big Query or Clickhouse or Redis)
Distributed Processing Engines (i.e Apache Spark or Apache Flink or Celery)
Distributed Queues (i.e Apache Kafka)
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
Ability to drive change through persuasion and consensus

Education:

Bachelor or Master degree in STEM majors

Valid through: 4/19/2021

About Netskope

Netskope is an American software company providing a computer security platform. The platform offers cloud-native solutions to businesses for data protection and defense against threats in cloud applications, cloud infrastructure, and the web. Netskope’s Cloud Access Security Brokers product has been recognized by Gartner as a leader in its field. Netskope is based in Santa Clara, California, with a software development facility in Bangalore, India, and further offices in San Francisco, Redmond, New York, St. Louis, London, Melbourne, and Singapore. Netskope was founded in 2012 by Sanjay Beri, Lebin Cheng, Ravi Ithal, and Krishna Narayanaswamy with an initial venture capital of approximately $21m. In October 2013, one year after being founded, Netskope launched its first openly available security software. In that same month, it announced the formation of an advisory team and appointed Enrique Salem, former Symantec chairman and CEO to its board of directors. In 2014, Netskope raised $35m in funding. By mid-2015, the company announced plans to expand to the Australia and New Zealand market and in September, Netskope raised a further $75m in a round led by Iconiq Capital. In 2016, the first two patents were issued to Netskope - Patents 9,270,765 and 9,398,102 for security for network delivered services. In June 2017, Netskope closed the most successful funding round yet, securing $100m in a round led by Lightspeed Venture Partners. The following month, Netskope acquired Sift Security, also a software company with a focus on next-generation cloud infrastructure security. The acquisition brought Sift’s IaaS ‘Cloud Hunter’ into Netskope’s Security Cloud. A year later, in June 2018, Patent 9,928,377 for context-aware data loss prevention was issued to Netskope. 2018 also saw another round of funding for Netskope, as the company raised a further $168.7 in November.

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