Remote Elastic Data Engineer

Description:

• Architect and deploy Elasticsearch clusters to ensure high availability, scalability, security, and performance.
• Fine-tune and optimize Elasticsearch indices and queries for improved search speed and efficiency.
• Monitor and maintain Elasticsearch cluster health, conducting troubleshooting and maintenance tasks as needed.
• Develop and manage data pipelines for ingesting, processing, and storing large datasets in Elasticsearch.
• Collaborate with cross-functional teams to design and implement Security Information and Event Management (SIEM) solutions.
• Automate processes, manage infrastructure, and enhance data engineering practices using Linux systems and DevOps technologies.
• Implement security features within Elasticsearch, including role-based access control (RBAC), encryption, and audit logging.
• Stay updated on security updates and patches to protect Elasticsearch clusters against vulnerabilities.
• Design, deploy, and manage SIEM solutions using the Elastic Stack to monitor and respond to security incidents.
• Integrate Elasticsearch with various data sources to collect and analyze security-related data.
• Develop alerting mechanisms and dashboards within Kibana for real-time insights into security threats.
• Document processes, configurations, and best practices related to Elasticsearch and data engineering workflows.
• Stay informed about the latest developments in Elasticsearch, Linux, and DevOps technologies to introduce innovative solutions.

Requirements:

• Minimum 3+ years of experience as a Data Engineer with a focus on Elasticsearch.
• Hands-on experience managing and optimizing Elasticsearch clusters in a production environment.
• Proficiency in Elasticsearch, Logstash, Beats, and Kibana (ELK Stack).
• Strong background in Linux system administration, including performance tuning and troubleshooting.
• Experience with DevOps methodologies and tools, particularly in CI/CD, containerization, and infrastructure as code.
• Good programming skills in languages like Python, Java, or Bash scripting.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization tools like Docker.
• Knowledge of configuration management tools (e.g., Ansible, Puppet, Chef) and infrastructure as code (e.g., Terraform).
• Excellent problem-solving skills, attention to detail, and strong communication abilities.
• Ability to work effectively in a team environment and manage multiple tasks simultaneously.

Benefits:

• Learning and sharing experiences with renowned IT security experts.
• Certification opportunities and internal education/workshops.
• Engaging projects involving current IT solutions.
• Competitive salary with performance-based bonuses.
• Additional and supplementary health insurance.
• Multisport membership.
• Flexible working hours and remote work options.