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Java Elasticsearch Jobs in Minnesota (NOW HIRING)

... Java and Python Experience with PostgreSQL, Open/Elasticsearch, Object Storage (S3/etc.) Hands-on experience with modern LLM ecosystems (OpenAI, Anthropic, Llama, Gemini, etc.) and productionizing ...

Java, Kotlin, Groovy, Spring Boot, Micronaut * Frontend Languages & Frameworks: React, JavaScript ... Databases: Postgres, Cassandra, MongoDB, RocksDB, InfluxDB, Elasticsearch (ELK Stack) Core ...

Engineer - Stores & Supply Chain

Minneapolis, MN · On-site +1

$75.40K - $135.70K/yr

Java, Kotlin, Groovy, Spring Boot, Micronaut * Testing: JUnit, Spock, KotlinTest * Event Streaming ... Databases: Postgres, Cassandra, MongoDB, RocksDB, InfluxDB, Elasticsearch (ELK Stack) Core ...

Java Elasticsearch information

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.

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 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 popular job titles related to Java Elasticsearch jobs in Minnesota? For Java Elasticsearch jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Java Elasticsearch jobs in Minnesota look for? The top searched job categories for Java Elasticsearch jobs in Minnesota are:

Full Stack Engineer (Java and DevOps)

Futran Tech Solutions Pvt. Ltd.

Eden Prairie, MN • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Full Stack Engineer (Java and DevOps)

Primary Responsibilities:

  • Review & analyze business requirements, work with business sponsor and project team members to manage and deliver on the project’s stated objectives, providing leadership with a focus on outcomes.
  • Analyze and interpret data to develop innovative solutions to support business and integration partners in accordance with ERIM and Legal data retention guidelines.
  • Design, develop, review, and deploy data integration solutions to support UHG and Optum domains for large complex legacy claims adjudication platforms which have been targeted for archival and decommission.
  • Plan and test software enhancements / updates, troubleshoot and help remediate defects.
  • Design and implement performance and operational enhancements.
  • Design reusable components, frameworks, and libraries using patterns that encourage innovation to help enable and accelerate team velocity.
  • Work closely with domain and dev architecture groups to design solutions that enable secure, scalable, and maintainable software and should be able to clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership.
  • Document application design for existing components and future enhancements to ensure that software meets business needs.
  • Review code and provide feedback relative to best practices and performance improvements.
  • Provide hands-on coaching and mentoring to junior software engineers.
  • Troubleshoot production issues and support overall DevOps practices / model.

Required Qualifications:

  • 5+ years’ experience in Software Development / Engineering
  • 5+ years’ experience in data transformation and integration supporting large platform implementations
  • 5+ years’ experience managing the entire product life cycle from ideation to post-production with focus on driving out business requirements and translating them into technical design to support delivery.
  • Solid analytic skills related to working with structured and unstructured datasets
  • Hands-on experience with Java, Spring Frameworks, Docker, OpenShift, Kubernetes
  • Hands-on experience with SQL and NoSQL DB technologies (MySQL, MS SQL, Hadoop, MongoDB, etc.)
  • Working knowledge of big data indexing / search technologies such as Apache SOLR and Elasticsearch
  • Experience with process tools (Rally/Jira), familiar with SDLC, Waterfall, and Agile delivery methodologies
  • Working experience with Cloud platforms.