Company Description

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.

Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

FLEXWORK is an employee-centric reimagining of how we work. We built FLEXWORK based on employee feedback – it is about flexibility, trust, and choice whenever possible. It’s been a journey of disruption that has yielded the best of our values. We offer as much flexibility as possible, and choices that enable you to be most productive, including benefits that meet your needs and learning opportunities that you feel passionate about.

Job Description

Your Career

• As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies in Cloud
• Disruption “Take risk fearlessly” - Delivering data and insights in realtime to execs in new ways
• Collaborate “Work together, win together” - Ability to partner with cross functional teams in delivering data and key insight
• Execute “Strive tirelessly for simplicity and usability” - Deliver data models which are simple to be used by consumer and scale for future
• You will be responsible to build data models which provide highest business value and are certified, scalable
• Conduct deep data analysis to discover actionable business insights from the data models
• You will be constantly challenged by tough data engineering and design tasks
• Build quality metrics part of pipeline to ensure the pipelines which are resilient and replayable
• As a team player you will be Partnering with data analysts, product owners and data scientists, to better understand requirements, finding bottlenecks, resolutions, etc.
• Quick to learn and adapt new technologies in data engineering
  
  

Qualifications

Your Experience

• 5+ years of experience with data and analytics
• Expert level in writing optimized SQL code
• Experience in building data models from SAP ECC & Salesforce systems.
• Should have worked in Bookings, Billings, Revenue, Renewals data models.
• Able to explain the business process and how analytics supported both strategic & operational requirements
• Mid level experience in building pipelines using Spark
• Experience in building ETL using data from Big Query is a Plus
• Familiarity with GCP services, preferably having supported deployments on one or more of GCP services
• Experience in Managing code using Github
• Should have worked in agile(scrum) development methodology
• Strong development/automation skills
• Can-do attitude on solving complex business problems, good interpersonal and teamwork skills
  
  

Additional Information

The Team

Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating — challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before.

We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected].

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Please note that we will not sponsor applicants for work visas for this position.