Data Engineer

Requirements

• Minimum 6+ years of Data Ingestion, Integration, ETL, or security engineering experience with large scale implementations distributed globally
• Extensive knowledge of a globally distributed environment across multiple platforms such as AWS, Azure and GCP
• Data-driven mindset
• Strong understanding of Data Management or Data Engineering
• Strong grounding in data analysis and related processes
• Experienced in Agile methods, experience in Atlassian stack (i.e., JIRA) or related tools
• Ability to Develop roadmaps and the underlying strategies for the data centric products and services
• Experience with standard monitoring frameworks and observability products
• Experience with hybrid environment data sources, data collectors and instrumentation
• Expertise in the use SIEM solutions for basic and advanced detection methods, including cloud-based data sources
• Experience with security monitoring & observability solutions such as Splunk, Sumo, Datadog, New Relic, AppDynamics
• Experience of working with cloud and data security in a DevSecOps / IRE and agile working environments.
• Expertise in at least one scripting language (PowerShell, Python, Bash)
• Experience in container / container orchestration technologies - Docker and Kubernetes
• Experience w / systems configuration orchestration tools - Ansible or Terraform
• Understanding of infrastructure as a code and concepts
• Related security certifications (e.g. CISSP, CCSP, SABSA, ITIL etc.).
• Familiarity and experience with the Splunk SPL query language.
• 3+ years familiarity and experience with Linux / Ubuntu / Mac systems
• Experience in creating dashboards, queries, alerts in Splunk, Data Dog, Sumo
• Experience in troubleshooting issues with Splunk connectivity including, networking, server (windows and Linux), and application tiers.