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Principal-Security Engineering
Verizon
Chennai, IND
Full-time
Senior · 8+ years experience
Hybrid
Discovered 1 weeks ago
Google Cloud Platform (GCP)Google BigQueryApache BeamPostgreSQLVertex AILLMs
Free
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Google Cloud Platform (GCP)Google BigQueryApache Beam
Key Skills for This Role
Google Cloud Platform (GCP)Google BigQueryApache BeamPostgreSQLVertex AILLMs
Full Job Posting
When you join Verizon
You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
Verizon is seeking a highly technical, hands-on Principal Security Engineer to join our Data as a Service (DaaS) & Analytics team. In this senior individual contributor role , you will act as the technical North Star for our analytics engineering teams, driving the cloud-native automation strategies required to expose critical enterprise security data via robust APIs and interactive dashboards. This is an execution-focused, "hands-on with code" position. You will architect and build modern data products, leveraging the Google Cloud Platform (GCP) ecosystem to design scalable ETL/ELT pipelines and serverless application architectures.
What you’ll be doing...
Architecting and optimizing large-scale security data repositories within Google BigQuery, ensuring efficient partitioning, clustering, and storage tiering to support multi-terabyte analytical queries.
Designing and implementing robust, low-latency data pipelines using GCP Dataflow services (Apache Beam) to ingest, transform, and aggregate batch and streaming data from disparate security sources into centralized data platforms.
Designing and maintaining optimized data layers using the GCP Cloud SQL (PostgreSQL engine) to support high-throughput analytics and data consumers.
Leading analytics engineers technically to architect and deploy production-grade automation solutions. Utilize GCP Cloud Run and Cloud Functions to build scalable, event-driven microservices and high-performance APIs that expose enterprise security data.
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