Staff Data Engineer, Dlp

hace 4 semanas

Ciudad de México CDMX Netskope A tiempo completo

**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.

**About the role**

The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products ensure that customer's data is protected wherever it lives. Our engineers work on architecting, designing, and delivering the next generation of highly scalable, effective, and high-performance data loss prevention solutions. You will have the opportunity to build best-in-class data security solutions using different technologies while working with a talented and experienced team of engineers and content in a dynamic and collaborative environment.

**What's in it for you**

We are looking for engineers who are passionate about identifying and detecting sensitive or confidential data in order to protect it. As a member of the Netskope Data Security team you will design and deliver highly effective, scalable and high-performance software solutions required for the next generation of content inspection and data protection.

**What you will be doing**
- Developing or assisting in the development of software tools for processing relevant information from a variety of structured and unstructured data sources.
- Collecting, cleaning, analyzing, and organizing data of various types.
- Developing or assisting in the development of language and linguistics data such as vertical dictionaries, grammars, phrase and idiom lists, and corpuses for analysis and testing.
- Developing or assisting in the development of regular expressions which can match numbers, terms and other alphanumeric expressions.
- Researching variations in prescriptive and organic orthographies for dozens of languages.
- Identifying and leveraging data resources from various sources of knowledge to normalize context-relevant information.

**Required experience and education**
- A Bachelor's or Master's Degree in Data or Computer Science with additional extensive formal study or work experience in Linguistics, Symbolic Systems, Taxonomy, or a related discipline.
- Must be a native or near-native, fluent speaker of English.
- Proficiency in Python or similar computer languages, with a strong background in creating advanced re, ICU, or PCRE regular expressions.
- Must be able to perform deep online research from credible sources and perform document searches in a wide variety of human languages.

**Personal skills**
- Must have an extremely good eye for detail - this is absolutely crucial.
- Have an interest in social or online language, or foreign language idioms or colloquialisms.
- Possess a strong ability to effectively work independently as part of a small remote team.
- Must have excellent proofreading skills, obsessive to the point of wanting to fix restaurant menus with Wite-Out or Sharpies (but doesn't).
- Must be able to think creatively and possess strong analytical and problem-solving skills.
- IMPORTANT NOTES_

LI-NN1

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.

Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.

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