Staff Engineer, Data Engineering @ Netskope
placeBengaluru, Karnataka, India
businessOn Site
Posted 13 days ago
Your Application Journey
Interview
Email Hiring Manager
***** @netskope.com
Recommended after applying
Job Details
About Netskope
Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. Netskope redefined Cloud, Network and Data Security in 2012 and has since built a market-leading cloud security company with an award-winning culture in multiple global offices.
About the Role
The Data QE team is responsible for data quality, data services, and data components across cloud and hybrid environments. In this role, you will lead initiatives within data engineering, testing product data efficacy, building CI/CD pipelines, and automating tools to detect and mitigate cybersecurity threats.
What You Will Be Doing
- Lead test documentation, automation, and deployment tooling for a microservice-based architecture.
- Develop, execute, and maintain both manual and automated test cases.
- Design and implement test plans for backward compatibility, REST APIs, and integration testing.
- Automate tests using Python, Java or equivalent languages to improve efficiency.
- Troubleshoot, debug, and optimize test environments in Kubernetes-based ecosystems.
- Collaborate with cross-functional teams including data scientists, AI engineers, and DevOps.
- Develop tests and automation for systems handling large datasets and near real time streaming.
Required Skills and Experience
- 8+ years of relevant experience.
- Expertise in automation and building automation frameworks.
- Proficiency in Python, Java, or similar languages.
- Experience with microservice architecture, Kubernetes, and Docker.
- Strong background in building CI/CD pipelines using Jenkins or Github Actions.
- Familiarity with cloud platforms like AWS, Azure, or GCP.
- Experience in testing data pipelines, streaming architectures, and messaging systems.
- Ability to lead cross-functional teams and mentor junior engineers.
- Excellent communication skills.
- BSc in Computer Science required; MSc preferred.
Key Skills/Competency
Staff Engineer, Data Engineering, Automation, Python, Java, CI/CD, Kubernetes, Cloud, Microservices, Testing
How to Get Hired at Netskope
🎯 Tips for Getting Hired
- Research Netskope's culture: Explore their mission, values, and recent news.
- Customize your resume: Highlight automation, CI/CD, and cloud skills.
- Showcase technical projects: Detail work with Python, Java, and Kubernetes.
- Prepare for cross-team interviews: Focus on collaboration and leadership skills.
📝 Interview Preparation Advice
Technical Preparation
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Review Python and Java coding challenges.
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Practice CI/CD pipeline setups using Jenkins.
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Study Kubernetes and Docker configurations.
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Refresh distributed systems and microservice architecture fundamentals.
Behavioral Questions
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Describe a time you led a team.
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Explain your approach to problem-solving.
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Share an experience resolving testing issues.
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Discuss collaboration with cross-functional teams.
Frequently Asked Questions
What does Netskope look for in a Staff Engineer, Data Engineering candidate?
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How should I prepare for the technical interview at Netskope?
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What are the key responsibilities for the Staff Engineer role at Netskope?
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Does Netskope offer mentorship to junior engineers in the Staff Engineer role?
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What skills are crucial for success as a Staff Engineer at Netskope?
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How important is experience with cloud platforms at Netskope?
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What kind of experience does Netskope require for automating tests?
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What level of experience is expected for this position at Netskope?
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How does Netskope ensure data quality in its cloud environments?
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What educational background is preferred for a Staff Engineer at Netskope?
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