Semi-Senior

ElasticSearch Engineer

IT

An ElasticSearch Engineer is responsible for designing, implementing, and managing robust search solutions using ElasticSearch technology. They focus on indexing, querying, and analyzing large sets of structured and unstructured data to ensure high performance and scalability. The role involves collaborating with development teams to integrate search functionality into applications, optimizing search algorithms, and maintaining the overall health of the search infrastructure. Proficient in Java, Python, or similar languages, ElasticSearch Engineers also ensure data integrity, security, and crafting tailored solutions to meet specific business needs.

Responsabilities

As an ElasticSearch Engineer, you will be tasked with designing and implementating scalable search solutions tailored to business requirements using ElasticSearch. This involves configuring and optimizing ElasticSearch clusters to handle large datasets efficiently, ensuring fault tolerance and high availability. You will be responsible for developing indexing strategies that allow for rapid retrieval of data, creating sophisticated search algorithms to refine and enhance search results, and constantly monitoring system performance to identify and troubleshoot issues. Through this, you will work closely with development teams to integrate ElasticSearch into various applications, providing technical guidance to ensure the seamless integration of search functionalities.

Moreover, you will be in charge of maintaining and upgrading the ElasticSearch infrastructure as needed, including performing regular backups and ensuring data security. You will implement measures to ensure data integrity and compliance with organizational security protocols. Part of your role will be to write and maintain comprehensive documentation on ElasticSearch configurations, customizations, and development processes. In addition to these tasks, you will collaborate with stakeholders to gather requirements and translate them into efficient search solutions, continuously improving the system based on user feedback and emergent trends in search technologies. Through ongoing learning and application of best practices, you will strive to enhance search accuracy, user satisfaction, and overall system resilience.

Recommended studies/certifications

To excel as an ElasticSearch Engineer, it is recommended to have a bachelor's degree in Computer Science, Information Technology, or a related field. Certifications in ElasticSearch, such as the Elastic Certified Engineer, are highly valuable for demonstrating competency in managing search solutions. Proficiency in programming languages like Java, Python, or JavaScript is essential, along with knowledge of data structures and algorithms. Experience with cloud platforms, such as AWS or Azure, and familiarity with other search technologies or databases adds a competitive edge. Continuous learning through workshops, courses, and staying updated with the latest advancements in search technologies is crucial for success in this role.

Skills - Workplace X Webflow Template

Skills

Operating Systems
DevOps
Troubleshooting
Disaster Recovery
Network Security
ITIL
Skills - Workplace X Webflow Template

Tech Stack

Linux
JIRA
PowerShell
AWS
Cloud Computing
Windows Server
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Hiring Cost

78000
yearly U.S. wage
37.5
hourly U.S. wage
31200
yearly with Vintti
15
hourly with Vintti
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