

Urgent Requirement :: Elastic Search :: New York-2, NY ( Onsite)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Elasticsearch Engineer in New York-2, NY, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Elasticsearch, Kibana, Unix/Linux, and Shell Scripting. Proven experience with Elasticsearch and the ELK stack is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
June 6, 2025
π - Project duration
Unknown
-
ποΈ - Location type
On-site
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π - Contract type
Unknown
-
π - Security clearance
Unknown
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π - Location detailed
San Francisco Bay Area
-
π§ - Skills detailed
#Scripting #Data Security #Linux #Security #Shell Scripting #Grafana #Logstash #Monitoring #Scala #Logging #.Net #JSON (JavaScript Object Notation) #OpenSearch #Prometheus #Python #Data Engineering #Elasticsearch #Observability #REST API #Docker #Indexing #Data Storage #Regular Expressions #REST (Representational State Transfer) #HBase #Data Modeling #Storage #Kubernetes #DevOps #Consulting #Unix #Data Pipeline
Role description
HI
Hope you are doing well!
I have an urgent requirement with one of my clients. Please find the job details below and forward me your updated resume along with your contact detailsΒ ajeet@realtekconsulting.net
Elastic Search
New York-2, NY
Skills Required
Kibana, Unix/Linux, Shell Scripting, has experience in working with Elasti Search vendors, Design , Engineering, Build, Operation
About the Role:
We are looking for an experienced and passionate Elasticsearch Engineer to join our team. In this role, you will be responsible for designing, developing, maintaining, and optimizing our Elasticsearch-based search infrastructure to ensure high performance, scalability, and reliability. Youβll work closely with data engineers, backend developers, and DevOps teams to integrate search capabilities into our applications and systems.
Key Responsibilities:
β’ Design, implement, and manage scalable Elasticsearch clusters.
β’ Develop indexing strategies for structured and unstructured data.
β’ Integrate Elasticsearch with other systems (e.g., Logstash, Kibana, Beats, or external data pipelines).
β’ Optimize Elasticsearch queries and cluster performance.
β’ Implement search features like autocomplete, fuzzy search, faceting, etc.
β’ Ensure data security, redundancy, and availability of Elasticsearch services.
β’ Monitor cluster health and performance using Kibana or other observability tools.
β’ Troubleshoot and resolve issues related to Elasticsearch indexing and querying.
β’ Collaborate with developers and stakeholders to understand search requirements.
β’ Stay current with the latest Elasticsearch features and best practices.
Requirements:
β’ Proven experience with Elasticsearch (OpenSearch experience is a plus).
β’ Strong knowledge of indexing, querying, and cluster management.
β’ Proficiency with the ELK stack (Elasticsearch, Logstash, Kibana).
β’ Experience with JSON-based REST APIs and data modeling for search.
β’ Familiarity with scripting languages (e.g., Python, Shell) and regular expressions.
β’ Understanding of distributed systems and data storage principles.
β’ Experience with logging, monitoring, and alerting tools (e.g., Prometheus, Grafana).
β’ Familiarity with containerization (Docker, Kubernetes) is a plus.
β’ Excellent problem-solving and communication skills.
HI
Hope you are doing well!
I have an urgent requirement with one of my clients. Please find the job details below and forward me your updated resume along with your contact detailsΒ ajeet@realtekconsulting.net
Elastic Search
New York-2, NY
Skills Required
Kibana, Unix/Linux, Shell Scripting, has experience in working with Elasti Search vendors, Design , Engineering, Build, Operation
About the Role:
We are looking for an experienced and passionate Elasticsearch Engineer to join our team. In this role, you will be responsible for designing, developing, maintaining, and optimizing our Elasticsearch-based search infrastructure to ensure high performance, scalability, and reliability. Youβll work closely with data engineers, backend developers, and DevOps teams to integrate search capabilities into our applications and systems.
Key Responsibilities:
β’ Design, implement, and manage scalable Elasticsearch clusters.
β’ Develop indexing strategies for structured and unstructured data.
β’ Integrate Elasticsearch with other systems (e.g., Logstash, Kibana, Beats, or external data pipelines).
β’ Optimize Elasticsearch queries and cluster performance.
β’ Implement search features like autocomplete, fuzzy search, faceting, etc.
β’ Ensure data security, redundancy, and availability of Elasticsearch services.
β’ Monitor cluster health and performance using Kibana or other observability tools.
β’ Troubleshoot and resolve issues related to Elasticsearch indexing and querying.
β’ Collaborate with developers and stakeholders to understand search requirements.
β’ Stay current with the latest Elasticsearch features and best practices.
Requirements:
β’ Proven experience with Elasticsearch (OpenSearch experience is a plus).
β’ Strong knowledge of indexing, querying, and cluster management.
β’ Proficiency with the ELK stack (Elasticsearch, Logstash, Kibana).
β’ Experience with JSON-based REST APIs and data modeling for search.
β’ Familiarity with scripting languages (e.g., Python, Shell) and regular expressions.
β’ Understanding of distributed systems and data storage principles.
β’ Experience with logging, monitoring, and alerting tools (e.g., Prometheus, Grafana).
β’ Familiarity with containerization (Docker, Kubernetes) is a plus.
β’ Excellent problem-solving and communication skills.