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A leading company in fund services seeks a skilled professional to design and maintain Elasticsearch solutions in a hybrid work environment. You will work on optimizing search performance, developing Elasticsearch clusters, and implementing advanced geospatial capabilities using Kibana and Elastic Stack.
Location : Downtown Toronto – Hybrid 3 days a week
Overview :
Our client is a global leader in fund services, corporate governance and related asset services with staff across 50 office locations worldwide. With more than $1.8 trillion in assets under administration, we deliver end-to-end solutions and exceptional service to meet our clients’ needs.Fund Administration is our core business, and our alternative asset and accounting service is one of the industry’s most respected. Our continuous investment in learning and technology solutions means our people are equipped to deliver a seamless client experience.
What you will be doing :
Design, implement, and maintain Elastic search solutions
Optimize search performance and relevance
Develop and maintain Elasticsearch clusters
Provide technical expertise in Elastic Stack (Elasticsearch, Fluent bit, Kibana)
Flattening and correlating JSON data with other log sources
Configure alerts using Elasticsearch Alerting, Kibana Alerting, Watcher. Custom alert integrations. Set up notification channels (Email, Slack, PagerDuty, etc.)
Create interactive geographic dashboards using tools like Kibana Maps, Elasticsearch Geospatial capabilities, Additional mapping libraries (Leaflet, Mapbox)
Implement heat maps, cluster maps, and coordinate maps
What you must have :
Experience with Elasticsearch and the Elastic Stack
Strong knowledge of search technologies and algorithms
Proficiency in programming languages (Java, Python, or similar)
Understanding of distributed systems
Experience with Linux / Unix environments
Knowledge of RESTful APIs
Strong problem-solving abilities
Good communication and collaboration skills
Elastic Certified Engineer certification
Experience with cloud platforms (AWS, Azure, GCP)
Knowledge of monitoring and logging solutions
Experience with containerization (Docker, Kubernetes)
For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.com