Your Career Palo Alto Networks is the fastest-growing security company in history. We foster a culture of innovation and collaboration. This focus helps to advance our mission of protecting our way of life in the digital age. Our people make this possible. It\'s in our everyday interactions, how we work together and treat each other, that sets Palo Alto Networks apart from other organizations. If you are a motivated, intelligent, creative, and hardworking individual, then this job is for you! This is an opportunity to use both your technical expertise and your passion for delivering business value to be a part of an org tackling real problems for real businesses on the largest data platform in the security domain. We are hiring principal, senior, or junior level engineers on query data processing based on large amounts of datasets in the Firewall Data Lake. Firewall Data Lake is the industry\'s leading, AI-based data platform. Firewall Data Lake collects customers\' large amounts of data in Petabytes daily. The query service on the Data Lake provides fast and sophisticated queries for analytics, machine Learning and AI, so that our customers and tools can act on potential security threats. Customers can securely and privately store and analyze large amounts of data that is normalized for advanced AI and machine learning to find threats and orchestrate responses quickly. We\'re building the foundations of the next inflection point in the security industry by combining our deep expertise in security with the state of art in large-scale infrastructure for data processing and machine learning (think exabytes of data). This is a unique opportunity to help build the products and practices that will support our growth over the next decade. If you see the potential of how incredible people can transform a business, this is the role for you. If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. Your Impact Design and implement ingestion, streaming and query processing services using Kafka, Flink and BigQuery scalable technologies Build a large-scale production system with high throughput and low latency, based on the Google Cloud Platform (GCP) Interface with the broader data platform teams to help develop a long-term technology roadmap Be both a deep technical leader and a hands-on engineer Champion engineering excellence, establish business metrics and drive continuous operational improvement Your Experience BA/BS Degree in Computer Science or related technical discipline, or related practical experience or equivalent military experience required 5+ years\' experience or equivalent in software engineering Professional experience in software development, using java or more programming languages Experience in distributed data processing and system Knowledge of SQL and NoSQL database systems Preferred Qualifications Skills for planning and executing complex projects Experience on frameworks and infra architecture Deep hands-on technical expertise Experience taking a leading role in building complex software systems running on large-scale production environments Experience on public clouds and products, such as BigQuery on GCP, or AWS is a plus Experience in query engine optimization is a plus The Team Our engineering team is at the core of our products - 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.
foundit
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.