Cyber Data Engineer (splunk/elasticsearch) - Director - Cybersecurity Engineering

Morgan Stanley

Bengaluru, India
On-site
Elasticsearch or splunk platform management
Cloud integration (gcp, azure, aws)
Infrastructure automation with python/ansible
Morgan Stanley is seeking a Cyber Data Engineer (Director level) in Bengaluru to join their CDRR Technology team, focusing on maintaining and optimizing their data platforms, particularly using ElasticSearch or Splunk. The role requires strong technical skills in data analytics, infrastructure automation, and cloud integration, along with excellent communication abilities

Job Summary

  • Onboard new data sources with appropriate field extractions and develop automation tools that integrate with in-house developed configuration management frameworks and APIs.
  • Provide consultancy to internal clients and stakeholders, identify and implement tuning to improve performance, and act as a top-level escalation point for complex troubleshooting.
  • Join a challenging role with a steep learning curve in a friendly and supportive squad that will transform your technical skills within Morgan Stanley's global financial services firm.

Matching Summary

Match Score: 85

Morgan Stanley is seeking a Cyber Data Engineer (Director level) in Bengaluru to join their CDRR Technology team, focusing on maintaining and optimizing their data platforms, particularly using ElasticSearch or Splunk. The role requires strong technical skills in data analytics, infrastructure automation, and cloud integration, along with excellent communication abilities.

Skills & Requirements

Must-have

  • ElasticSearch or Splunk platform management
  • Cloud integration (GCP, Azure, AWS)
  • Infrastructure automation with Python/Ansible
  • Linux/Unix system administration
  • DevOps SDLC practices (Git, Jenkins, Jira)

Nice-to-have

  • Splunk or Elasticsearch certifications
  • Cybersecurity concepts and monitoring
  • Agile methodologies (Kanban)

Key Requirements

  • Prior experience deploying and managing large-scale data analytics platforms
  • Experience with Cloud integration
  • Infrastructure automation and integration experience
  • Solid understanding of Operating Systems and Networking concepts
  • Good understanding of software version control, deployment & build tools

Work Rights

Not specified

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