Tech Lead Data Engineer (Cortex)

Company Description

Our Mission

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

To be the preferred cybersecurity partner, safeguarding our digital lifestyle.

Our vision is of a world where each day is safer and more secure than the one before. We are a corporation built on the principle of challenging and transforming the traditional methods, and we're looking for pioneers who are as dedicated to shaping the future of cybersecurity as we are.

FLEXWORK is an innovative rethinking of our work approach that is centered around our employees. FLEXWORK, created based on employee feedback, is about flexibility, trust, and options whenever possible. This disruptive journey has brought forth the best of our values. We offer flexibility and choices that enable you to be most productive, with benefits tailored to your requirements and learning opportunities that fuel your passion.

Job Description

Your Career

• As a Data Engineer, you will be a crucial member of our Data & Analytics team, tasked with designing and developing pipelines using advanced technologies in the Cloud
• Disruption "Take risk fearlessly" - Delivering data and insights to executives in innovative ways
• Collaborate "Work together, win together" - The ability to join forces with cross-functional teams in delivering vital data and insights
• Execute "Strive tirelessly for simplicity and usability" - Delivering data models that are user-friendly and scalable
• You will be responsible for constructing data models that offer the utmost business value and are accredited and scalable
• Carry out in-depth data analysis to uncover actionable business insights from the data models
• You will be continuously challenged by complex data engineering and design tasks
• Include quality metrics in the pipeline to certify the resilient and replayable pipelines
• As a collaborative team member, you will be partnering with data analysts, product owners, and data scientists to better comprehend requirements, identify bottlenecks, find solutions, etc.
• Quick to learn and adapt to new technologies in data engineering

Qualifications

Your Experience

• 5+ years of experience in data and analytics
• Expertise in writing optimized SQL code
• Experience in building data models from SAP ECC & Salesforce systems
• Should have hands-on experience in Bookings, Billings, Revenue, Renewal data models
• Able to describe the business process and how analytics supported both strategic and operational needs
• Intermediate level experience in building pipelines using Spark
• Experience in performing 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 experience working under agile(scrum) development methodology
• Strong development/automation skills
• A can-do attitude for solving complex business problems, good interpersonal and teamwork skills

Additional Information

The Team

Our engineering team is central to our products and directly linked to our mission of preventing cyberattacks. We are perpetually innovating — pushing the boundaries of how we, and the industry, perceive cybersecurity. Our engineers do not holdback from developing products to address unexplored problems.

We are the trendsetters in the industry rather than followers. We need individuals who are comfortable with uncertainty, enthusiastic about facing a challenge, and empowered by the unknown risks that our daily lives face, only made viable by a secure digital environment.

Our Commitment

We are trailblazers that dream big, take risks, and challenge the status quo of cybersecurity. It's simple: we cannot achieve our mission devoid of diverse teams innovating, together.

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

Palo Alto Networks is an equal opportunity employer. We rejoice in the diversity in our workplace, and all qualified applicants will be considered 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 any other legally protected characteristic.

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

#LI-ER1