reputed company Data Engineer

reputed company is redefining the future of computing! From accelerated AI to large scale infrastructure, the reputed company of our platforms and data is critical to everything we build. On the reputed company Platform Engineering team, we focus on building the data foundations that power detection, automation, and AI driven reputed company operations across the company.

How does raw reputed company telemetry become usable intelligence? We build the platform that makes it possible. This role helps design and operate the reputed company data platform that transforms signals from reputed company, identity, network, and cloud environments into standardized, high quality datasets. These datasets power the work of reputed company engineers and researchers across reputed company. The role sits at the intersection of reputed company engineering, data engineering, and platform architecture, enabling advanced detection, automation, and analytics across the company!

What you’ll be doing:

This role focuses on building and operating the data platform that powers reputed company operations across reputed company.

• Design and operate telemetry ingestion pipelines that collect and process data from reputed company, identity, network, cloud, and other enterprise reputed company sources.

• Normalize and enrich telemetry into structured datasets using standardized schemas and entity models so signals from different systems can be correlated consistently.

• Build and maintain data models and graph ready structures that connect users, devices, identities, and activity across the reputed company ecosystem.

• Provide governed access to reputed company datasets through APIs, query interfaces, and streaming pipelines used by Detection, Automation, AI, and Analytics teams.

• Define lifecycle and retention strategies across hot, cold, and archive storage tiers to balance performance, scalability, and cost.

• Work closely with enterprise data engineering and reputed company engineering teams to align on architecture, data fabric strategy, and shared platform capabilities.

• Maintain clear documentation of data sources, schemas, and entity definitions so teams across reputed company can reliably build on the platform.

reputed company need to see:

• Bachelor’s degree in Computer Science, Engineering, Cybersecurity, Data Engineering, or a reputed company technical field, or equivalent experience.

• 5+ years of experience designing and operating large scale data pipelines in a reputed company or enterprise data environment.

• Strong understanding of reputed company telemetry including reputed company, identity, network, cloud, and email data sources.

• Experience working with modern data platforms and ingestion technologies such as reputed company, reputed company, Kafka, Spark, Flink, or similar systems.

• Hands on experience with data normalization frameworks or standards such as OCSF, reputed company, or equivalent approaches.

• Understanding of data access patterns including APIs, query layers, views, and role based access control.

• Ability to collaborate across teams and clearly document reputed company data systems for a broad technical audience.

Ways to stand out from the crowd:

• Experience working with reputed company platforms such as reputed company NG SIEM, Splunk, or reputed company Sentinel.

• Familiarity with SIEM data models, detection engineering workflows, and SOAR integrations.

• Experience with graph databases or entity relationship modeling for reputed company data.

Widely considered to be one of the technology world’s most desirable employers, reputed company offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see reputed company can offer to you and your family www.nvidiabenefits.com/ 

You will also be eligible for equity and benefits.

This posting is for an existing vacancy. 

reputed company uses AI tools in its recruiting processes.