Staff Data and ML Platform Engineer

Your Career

Our Data & Analytics group is responsible for working with various business owners/stakeholders from Sales, Marketing, People, GCS, Infosec, Operations, and Finance to solve complex business problems which will have a direct impact on the metrics defined to showcase the progress of Palo Alto Networks. We leverage the latest technologies from the Cloud & Big Data ecosystem to improve business outcomes and create through prototyping, Proof-of-Concept projects and application development. We are looking for a Staff IT Data and ML platform Engineer. Cloud engineering and business intelligence (BI) tools. The ideal candidate will be responsible for designing, implementing, and maintaining scalable platforms and analytical solutions that support our business objectives. This role requires a strong understanding of data engineering principles, as well as the ability to collaborate with cross-functional teams to deliver high-quality data platform solutions.

Your Impact

• Design, develop, and maintain data Infrastructure to support ETL, real time pipelines, data science and AI/ML workloads
• Build and maintain CICD pipelines to support various workflows.
• Support workflow from various sources into our data warehouse or data lake environment.
• Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
• Optimize and tune existing data pipelines for performance, reliability, and scalability.
• Implement data quality and governance processes to ensure data accuracy, consistency, and compliance with regulatory standards.
• Mentor junior members of the team and provide guidance on best practices for data engineering and BI development.

Your Experience

• UG/PG degree in Computer Science, Engineering, or a related field or military experience required
• 5 to 8 years of experience in DevOps, Data platform operations and ML workloads, with a focus on building and maintaining data and AI/ML tools.
• Familiarity with cloud platforms such as Google Cloud Platform (GCP), and experience with relevant services (e.g. GCP Dataflow, GCP DataProc, Biq Query, Procedures, Cloud Composer etc).
• Experience with Big data tools Airflow, Kafka, Grafana, Prometheus, LGTM etc.
• Experience with object-oriented/object function scripting languages: Python/Scala, etc
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets and derive actionable insights.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

The Team

Working at a high-tech cybersecurity company within Information Technology is a once in a lifetime opportunity. Youll be joined with the brightest minds in technology, creating, building, and supporting tools that enable our global teams on the front line of defense against cyberattacks.