Engineering

Krakow, Poland

- Hybrid Remote

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The Senior Data Generation Engineer will be responsible for creating data that simulates real-world traffic and security events across various scenarios. This role involves developing and implementing data generation frameworks that accurately reflect real-world conditions to support testing, development, and analysis efforts. In this position, you will collaborate with multi-functional teams (including Technical Marketing) to ensure data integrity, relevance, and scalability, and build network and system traffic that closely mirrors real world scenarios to support our use cases.

Key Responsibilities:

Design and implement data generation frameworks to simulate traffic and security events under diverse scenarios that mirror real world environments.
Collaborate with technical marketing teams to understand data requirements and ensure realistic data simulation.
Develop and maintain documentation and methodologies.
Analyze data & processes to improve efficiency and accuracy.
Ensure data quality and relevance by continuously refining simulation parameters and models.
Automate data generation tasks using appropriate tools and scripting languages.
Conduct regular reviews of data simulation strategies and implement improvements based on feedback and new insights.
Stay informed about emerging trends and technologies in data simulation and apply them to improve existing frameworks.

Qualifications:

Bachelor’s degree in Computer Science, Data Science, Data Engineering, or a closely related technical subject area (or equivalent professional experience).
Minimum of 5 years hands-on professional experience focused on data engineering, simulation, or similar fields involving synthetic data creation and management.
Proven capability in crafting and implementing frameworks to generate realistic simulated data representing network traffic and cybersecurity events.
Comprehensive understanding of data modeling techniques, generation methodologies, and analytical processes used to emulate real-world scenarios.
Demonstrated proficiency in scripting and automation languages, such as Python, Bash, or similar scripting languages commonly used in data generation and pipeline automation.
Familiarity with common data simulation tools, data streaming services, and technologies capable of generating synthetic network or system traffic at scale.
Experience in validating simulated data to ensure accuracy, realism, and relevance for various testing and marketing use-cases.
Strong interpersonal and teamwork skills enabling effective multi-functional collaboration.
Proven analytical skills to evaluate data generation workflows, identify bottlenecks, and implement efficiency improvements.
Experience with data generation tools and frameworks (e.g., Ostinato, Netropy, Attack Range)
Familiarity with cloud platforms and big data technologies, including AI.
Hands-on experience with Splunk solutions or similar industry platforms is a plus.

Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis

Note:

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