Elastic Search Consultant

Job Description

We are seeking a skilled and Elasticsearch Engineer to join our internal colleague facing intranet team. As an Elasticsearch Engineer, you will be responsible for the design, implementation, optimization, and maintenance of Elasticsearch clusters and solutions. You will work closely with cross-functional teams to ensure that our search and data retrieval systems are highly scalable, efficient, and capable of handling large volumes of data.

Key Responsibilities :

• Elasticsearch Cluster Management : Deploy, configure, and maintain Elasticsearch clusters in production environments, ensuring high availability, scalability, and performance.
• Indexing & Query Optimization : Design and implement efficient indexing strategies to optimize search query performance. Work on improving Elasticsearch query performance and ensure low-latency response times.
• Data Integration & ETL : Integrate various data sources (logs, databases, APIs, third party applications such as Confluence etc…) into Elasticsearch. Work with data pipelines and connectors to preprocess and index data efficiently.
• Troubleshooting & Performance Tuning : Identify and resolve performance bottlenecks, analyze Elasticsearch logs, and provide solutions to maintain system reliability and performance at scale.
• Security & Access Control : Implement security measures such as Azure AD role-based access control (RBAC), encryption, and other techniques to ensure that data is secure and compliant with industry standards.
• Monitoring & Reporting : Set up monitoring tools (e.g., Elastic Stack Monitoring, Grafana) to track cluster health, resource usage, and query performance. Provide reports and insights on system health.
• Collaboration & Documentation : Collaborate with developers, data scientists, and other stakeholders to understand use cases, ensure the search infrastructure supports their needs, and provide training and documentation.
• Upgrades & Patches : Plan and execute Elasticsearch version upgrades and patch management to ensure that the system remains up-to-date and secure.
• Scaling & Capacity Planning : Work on horizontal and vertical scaling strategies to handle an increase in data and query load. Optimize hardware and cloud infrastructure for Elasticsearch deployments.

Requirements :

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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