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NoSQL Data Architect / Data Engineer

6-12 Years
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Job Description

We're Hiring | NoSQL Data Architect / Data Engineer

Location: Malaysia (Visa Sponsored)

Experience: 8+ Years

We are looking for an experienced NoSQL Data Architect / Data Engineer to manage and optimize MongoDB environments across development, testing, and production. The ideal candidate will ensure database performance, scalability, and security, while supporting teams with efficient data modeling and query optimization.

Key Responsibilities:

Design and architect document-based data models using MongoDB

Install, configure, and maintain MongoDB standalone, replica sets, and sharded clusters

Implement replication, sharding strategies, and performance tuning

Automate database operations using Bash, Python, or PowerShell

Integrate database workflows into CI/CD pipelines

Monitor performance using Prometheus, Grafana, Ops Manager / Cloud Manager

Implement security best practices (RBAC, authentication, encryption)

Collaborate with developers to optimize data models and queries

Key Skills:

Strong experience with MongoDB architecture (replica sets, sharding, aggregation)

Experience with Linux / Unix environments and shell scripting

Familiarity with MongoDB tools (mongodump, mongorestore, mongostat, mongotop)

Knowledge of DevOps practices and cloud platforms (AWS, Azure, GCP)

Understanding of data modeling and NoSQL database concepts

Preferred:

MongoDB Certified DBA

Experience with MongoDB Atlas and other NoSQL databases

Interested candidates or referrals please reach out or comment below.

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+60 11-6828 6220

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About Company

Kamlax Global Technologies is a leading IT services & business solution provider delivering cutting edge technology solutions to enterprises across the world.
we add value to organizations through a synergy of skills, technology insight, innovation, products and services that orchestrate our customer's business to perfection. Our expertise bridges the gap between the businesses and IT and offers detailed, process-driven solutions enabling our customers to enhance productivity and achieve better ROI.

Job ID: 144160291