Palo Alto Networks
Staff Data Engineer
Palo Alto Networks, Santa Clara, California, United States,
Job Description
Your Career
As part of the role, you will be responsible for being a thought leader in designing, coding and stitching scalable datasets to establish certified datasets as an enterprise grade asset. Participate in problem statement discovery and propose state of the art solutions that’s built to last including AI training. This role is a key enabler of building the future of AI and Analytics data foundation to help in Palo Alto Networks growth.
Your Impact
As a Data Engineer, you'll play a crucial role in our Data & Analytics team, tasked with crafting and implementing integrations using state-of-the-art Cloud technologies
Ability to translate and assess business problems statements into data requirements and foundation and deliver beyond the stated ask
Embrace Disruption - Take bold risks in delivering real-time data and insights to executives through innovative methods
Foster Collaboration with “Work together, win together” - ability to engage with cross-functional teams to deliver key data and insights, fostering a culture of teamwork and shared success
Focus on Execution - Execute “Strive tirelessly for simplicity and usability” - Dedicate efforts to creating data models that prioritize simplicity and usability, ensuring scalability for future needs
Drive Business Value - Develop certified and scalable data models that offer the highest business value, enabling actionable insights
Conduct In-depth Analysis - Utilize deep data analysis techniques to uncover actionable insights from data models
Have basic level of expertise in the areas of data governance, data quality, MDM, information management, metadata management and information exchange
Embrace Challenges - Tackle complex data engineering and design tasks that push your skills to new heights
As a team player, work closely with data analysts, product owners, and data scientists to understand requirements and overcome challenges collaboratively
Embrace Learning - Stay agile and adept at adopting new data engineering technologies and methodologies
Your Career
As part of the role, you will be responsible for being a thought leader in designing, coding and stitching scalable datasets to establish certified datasets as an enterprise grade asset. Participate in problem statement discovery and propose state of the art solutions that’s built to last including AI training. This role is a key enabler of building the future of AI and Analytics data foundation to help in Palo Alto Networks growth.
Your Impact
As a Data Engineer, you'll play a crucial role in our Data & Analytics team, tasked with crafting and implementing integrations using state-of-the-art Cloud technologies
Ability to translate and assess business problems statements into data requirements and foundation and deliver beyond the stated ask
Embrace Disruption - Take bold risks in delivering real-time data and insights to executives through innovative methods
Foster Collaboration with “Work together, win together” - ability to engage with cross-functional teams to deliver key data and insights, fostering a culture of teamwork and shared success
Focus on Execution - Execute “Strive tirelessly for simplicity and usability” - Dedicate efforts to creating data models that prioritize simplicity and usability, ensuring scalability for future needs
Drive Business Value - Develop certified and scalable data models that offer the highest business value, enabling actionable insights
Conduct In-depth Analysis - Utilize deep data analysis techniques to uncover actionable insights from data models
Have basic level of expertise in the areas of data governance, data quality, MDM, information management, metadata management and information exchange
Embrace Challenges - Tackle complex data engineering and design tasks that push your skills to new heights
As a team player, work closely with data analysts, product owners, and data scientists to understand requirements and overcome challenges collaboratively
Embrace Learning - Stay agile and adept at adopting new data engineering technologies and methodologies