OpenSearch lead Database Engineer

Hi,

It was nice talking you on LinkedIn. Here I m sharing the complete job details with our direct client, kindly go through it and share your thoughts.

Brief about M3bi:

M3bi is a new generation IT Services Company specializing in Business Intelligence, Data Warehousing & Data Analytics! The team at M3bi stands for enabling enterprises with an enriched and controlled view of their business and data. Our primary focus is around data analytics, testing automation and end-to-end delivery of Data Management programs for large Financial Services and Healthcare clients. Attached herewith is the Job Description for the role If you or someone you know fits the profile description and is interested , please send across your profile to

Role : OpenSearch lead Database Engineer

Relocation : Minneapolis MN

Duration : Long Term

About the Role:

We are seeking a skilled and passionate OpenSearch Engineer to join our growing Data team. In this role, you will be responsible for designing, deploying, managing, and optimizing OpenSearch clusters to support search, logging, and analytics use cases across our platform. You will collaborate with developers, DevOps, and data teams to ensure high availability, performance, and security of OpenSearch in production environments.

Responsibilities:

• Design, implement, and maintain scalable OpenSearch clusters across environments.
• Optimize indexing, querying, and storage strategies for performance and cost-efficiency.
• Set up and manage OpenSearch Dashboards (formerly Kibana) for log analytics and search interfaces.
• Monitor and troubleshoot performance and availability issues with OpenSearch services.
• Collaborate with engineering teams to integrate OpenSearch with Micro-Services , application logs, metrics, and events.
• Define and enforce security best practices for data access and cluster management.
• Stay current with OpenSearch developments, plugins, and the broader observability ecosystem.

Qualifications:

• 10+ years of experience in managing Elasticsearch or OpenSearch clusters in production.
• Managing data ingestion and Database knowledge on Kafka Glue and EMR
• Strong understanding of distributed systems and search engine internals.
• Proficiency with scripting and automation tools (e.g., Bash, Python, JavaScript,).
• Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines.
• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure) and managed services.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Hands -On Experience with ETL tools like Informatica and Glue.
• Scheduling Tools (TWS or TIDAL).

Thanks & Regards