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Java Elasticsearch Jobs in Nevada (NOW HIRING)

Deloitte

CyberArk Senior Consultant

Las Vegas, NV

Experience with object-oriented programming using languages such as Java, Python, or JavaScript ... Familiarity with OpenSearch or Elasticsearch. * Exposure to graph databases such as Neo4j or ...

Stem Xpert

Cesium Scala Developer

Manhattan, NV

... Java Strong problem-solving and communication skills and enjoys a collaborative environment ... ElasticSearch is a plus Experience with enhancing and maintaining mission-critical software in a ...

Deloitte

FDE Senior Manager

Las Vegas, NV · On-site

Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j ... Java, or Node.js * 5+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or ...

All JobsJava Elasticsearch JobsJava Elasticsearch Jobs in Nevada

Java Elasticsearch information

What is the difference between Java Elasticsearch vs Java Developer?

AspectJava ElasticsearchJava Developer
Primary FocusImplementing search and analytics solutions using Elasticsearch with JavaDeveloping Java applications across various domains
Required SkillsJava, Elasticsearch, REST APIs, data modelingJava, object-oriented programming, frameworks like Spring
Work EnvironmentData-driven projects, search engine optimization, big dataSoftware development, application design, system integration
CertificationsElasticsearch certifications, Java certificationsJava certifications (Oracle Certified Java Programmer)

Java Elasticsearch specialists focus on integrating Elasticsearch with Java to build search and analytics solutions, while Java Developers have a broader role in developing various Java applications. Both roles require Java skills, but Elasticsearch roles emphasize search engine knowledge and data handling, making them more specialized within the Java ecosystem.

What are some common challenges Java developers face when integrating Elasticsearch into applications?

Java developers often encounter challenges such as handling complex query structures, optimizing search performance, and ensuring data consistency between the application and Elasticsearch clusters. Additionally, understanding Elasticsearch's distributed architecture and tuning it for scalability can require a learning curve. Collaborating closely with DevOps and data engineering teams is essential to monitor cluster health and manage index mappings effectively.

What are Java Elasticsearch developers?

Java Elasticsearch developers are software engineers who specialize in integrating and utilizing Elasticsearch, a powerful search and analytics engine, within Java-based applications. They design, implement, and optimize search functionalities, ensuring efficient data indexing, querying, and retrieval. Their responsibilities often include configuring Elasticsearch clusters, developing RESTful APIs, and troubleshooting performance issues to provide scalable search solutions.

What are the key skills and qualifications needed to thrive as a Java Elasticsearch Developer, and why are they important?

To thrive as a Java Elasticsearch Developer, you need strong Java programming skills, experience with Elasticsearch, and a background in software engineering or computer science. Familiarity with tools like Kibana, Logstash, RESTful APIs, and relevant certifications such as Elasticsearch Engineer can enhance your technical proficiency. Problem-solving skills, attention to detail, and effective communication are crucial soft skills for managing complex data requirements and collaborating with teams. These skills ensure the development of efficient, scalable search solutions that meet business and user needs.
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What job categories do people searching Java Elasticsearch jobs in Nevada look for? The top searched job categories for Java Elasticsearch jobs in Nevada are:
What cities in Nevada are hiring for Java Elasticsearch jobs? Cities in Nevada with the most Java Elasticsearch job openings:
Java Elasticsearch jobs near you

ELK Engineer at Las Vegas, NV

Volto USA

Las Vegas, NV • On-site

Contractor

Posted 23 days ago

Job description

Role: - ELK Engineer

Location: ONSITE- Las Vegas, NV day one NO EXCEPTIONS

Duration: 6 months

Descriptions:

ELK Developer experience: ELK Developer designs, implements, and manages the Elasticsearch, Logstash, and Kibana (ELK) stack to build data pipelines for log analysis, data ingestion, and real-time visualization dashboards. Key responsibilities include configuring Logstash for data processing, optimizing Elasticsearch for data storage and retrieval, developing Kibana dashboards for insights, and ensuring the system's performance, security, and high availability.

Essential Job Functions:

Design and Development - Create and maintain scalable ELK stack solutions for log ingestion, processing, and analysis.

Log Management - Configure and manage Logstash to parse and enrich log data from various sources.

Data Ingestion - Work with components like Filebeat, Metricbeat, and Winlogbeat for data collection.

Kibana Dashboards - Build and manage interactive Kibana dashboards for real-time monitoring and analytics.

Performance Tuning - Monitor and optimize the performance, scalability, and resilience of the ELK stack.

Troubleshooting - Resolve complex issues related to data indexing, querying, and visualization within the ELK environment.

Data Integrity & Security - Ensure data integrity and implement security measures for the ELK infrastructure.

Infrastructure as Code - Deploy and manage Elastic clusters using tools like Ansible.

Integration - Integrate the ELK stack with other systems and data sources through APIs and web services.

Documentation - Maintain detailed documentation for configurations, deployments, and operations.

Position Requirements:

Bachelor’s degree in technology, engineering, or related field.

6-8 years of ELK Developer experience: designing, implementing, and managing the Elasticsearch, Logstash, and Kibana (ELK) stack to build data pipelines for log analysis, data ingestion, and real-time visualization dashboards ELK Stack Proficiency: Strong understanding of Elasticsearch, Logstash, and Kibana.

Programming Languages: Experience with languages like Go or Java for developing custom plugins or integrations.

Data Management: Experience with data pipelines, data ingestion, and index lifecycle management.

Monitoring & Visualization: Knowledge of monitoring tools and techniques, including developing advanced Kibana dashboards.

Scripting: Proficiency in shell scripting and Unix/Linux administration.

Good understanding of DevOps processes and CI/CD tools.

Ability to work through ambiguous and open-ended business requirements and priorities and translate the same into a clear roadmap and definition of success.

Excellent communication, problem-solving, and project management skills Ability to collaborate effectively and follow up to ensure achievement of deadlines, outcomes, and results.

Demonstrate company core values of excellence, ownership, collaboration, and integrity.

Strong communication and interpersonal skills in a global organization Strong collaborative approach to problem solving.

SKILLS: Digital : DevOps Continuous Integration and Continuous Delivery (CI/CD), Digital : ELK Stack, Digital : Elastic Search