Vacancy caducado!
Our MissionAt Palo Alto Networks® everything starts and ends with our mission:Being the cybersecurity partner of choice, protecting our digital way of life.We have the vision of a world where each day is safer and more secure than the one before. These aren’t easy goals to accomplish – but we’re not here for easy. We’re here for better. 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.We’re changing the nature of work. Palo Alto Networks is evolving to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. From benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.Your CareerAs 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.Your ImpactDisruption “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, scable
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
Your ExperienceStrong 8+ 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 datamodels
Expert level building pipelines using Spark using DataProc
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
Must be local in SF Bayarea
Our CommitmentWe’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.Palo Alto Networks is evolving and changing the nature of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. From benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, 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.All your information will be kept confidential according to EEO guidelines.
Vacancy caducado!