OpenSearch lead Database Engineer

  • Minneapolis, MN
  • Posted 22 days ago | Updated 22 days ago

Overview

On Site
$50 - $55
Contract - W2
Contract - 12 Month(s)

Skills

ELK

Job Details

OpenSearch lead Database Engineer
Minneapolis MN (Onsite)
Contrcat (W2/C2C)

Job Description

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).
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