Top Data & Analytics Jobs in Chennai, TN

Seeking a Vulnerability Researcher to gather, analyze, and enrich security vulnerability data, automate tasks, troubleshoot issues, and develop scripts. Must have 6-12 years of experience, programming knowledge in Python/Perl/Golang, and in-depth understanding of vulnerabilities and network fundamentals.

Looking for a Vulnerability Researcher to gather, analyze, and integrate vulnerability data, troubleshoot issues, and automate tasks. Requires 6-12 years of experience, programming/scripting knowledge, platform knowledge, and in-depth understanding of security and network fundamentals.

Seeking a Senior Threat Researcher to lead the charge in understanding malware activity, focusing on malware research and threat landscape analysis. Responsibilities include analyzing threats, reverse engineering, creating automations, collaborating with stakeholders, and enhancing detection capabilities. Join a remote-first culture dedicated to shaping the future of cybersecurity.

Join CrowdStrike as a Sr. Data Engineer to design and build services for industry-leading machine learning products, work with large volumes of data, and collaborate with cross-functional teams.

Seeking a Sr. Threat Researcher to lead the charge in understanding malware threats. Responsible for analyzing threats, collaborating with stakeholders, and creating automations for processing samples. Involvement in developing machine learning technologies to enhance cybersecurity protection. Remote work opportunity with a focus on innovative cybersecurity solutions at CrowdStrike.

Looking for a Senior Data Engineer to join the Data Engineering team at CrowdStrike, responsible for building pipelines, infrastructure, and automation for data scientists. Requires strong programming skills in Golang, experience with large data volumes, distributed system design, CI/CD best practices, and Docker/Kubernetes development.

Work as a Data Engineer for the Data Engineering team at CrowdStrike, designing and building services for machine learning products, building automation tools, maintaining data systems, and collaborating with different teams to contribute to machine learning data.