Sr. Engineer, Data Systems
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About Netskope
Today theres 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 Paris Melbourne Taipei 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 and social professional groups such as the Awesome Women of Netskope (AWON) we strive to keep work fun supportive and interactive.Visit us atNetskope Careers. Please follow us on LinkedIn and Twitter@Netskope.
About the role
We are looking for a motivated and skilled Data Systems Engineer to support the development and operation of systems that track software usage and manage licensing entitlements. The ideal candidate will bring technical proficiency in Python data integration and visualization tools with the ability to collaborate across teams.
Whats in it for you
This role is well-suited for an engineer who enjoys building automation working with diverse data sources and contributing to scalable analytics systems that drive business decisions.
What you will be doing
- Assist in designing and developing automated systems for usage tracking entitlement enforcement and reporting.
- Build and maintain dashboards and data visualizations that provide insight into product usage and compliance.
- Contribute to the development of ETL pipelines and data workflows for usage and entitlement data.
- Apply machine learning and statistical techniques (with guidance) to detect anomalies and predict usage trends.
- Support database operations ensuring data is well-structured queryable and secure.
- Work with APIs and cloud-based systems to ingest and integrate data from various internal tools.
- Collaborate with engineers analysts product managers and business teams to ensure automation aligns with goals.
- Help maintain and improve the performance and reliability of existing automation and reporting tools.
Required skills and experience
- 5 to 8 years of experience in data engineering analytics or automation roles.
- Strong proficiency in Python for data analysis scripting and automation.
- Working knowledge of SQL and NoSQL databases with experience in writing queries and managing data structures.
- Experience with machine learning libraries (e.g. Scikit-Learn) and interest in developing predictive models.
- Experience with data visualization tools such as Tableau Power BI or Looker Studio.
- Experience with cloud platforms (AWS GCP or Azure) and data services
- Experience working with REST APIs and integrating data from multiple systems.
Education
- Bachelors degree in Computer Science Data Science Engineering or a related field (Masters a plus).
#LI-RS1
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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Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Netskope, a global cybersecurity leader, is redefining cloud, data, and network security to help organizations apply zero trust principles to protect data.
