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Mongo DB specialist-Banking

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: TAWANTECH
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Database Administrator, Data Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 SAR Yearly SAR 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Job Summary

We are seeking a Mongo

DB Specialist
responsible for designing, implementing, optimizing, and maintaining Mongo

DB databases to support high-performance, scalable applications. The role requires close collaboration with application developers, Dev Ops, and business stakeholders to ensure data solutions align with business needs.

Key Responsibilities Database Design & Development
  • Design and implement Mongo

    DB schemas
    based on application and business requirements
  • Optimize data models for performance, scalability, and maintainability
  • Develop and maintain indexes, aggregation pipelines, and queries
Performance & Optimization
  • Monitor database performance and troubleshoot issues
  • Optimize queries, indexes, and storage usage
  • Ensure high availability and disaster recovery using replica sets and sharding
Operations & Maintenance
  • Install, configure, upgrade, and manage Mongo

    DB environments
  • Perform backup and restore operations
  • Implement security best practices (authentication, authorization, encryption)
Collaboration & Support
  • Work closely with developers to support application data needs
  • Assist business and technical teams with data analysis and reporting
  • Support production issues and participate in on‑call rotations if required
Documentation & Governance
  • Document database architecture, standards, and best practices
  • Ensure compliance with data governance and security policies
Required

Skills & Qualifications Technical Skills
  • Strong hands‑on experience with Mongo

    DB (Community or Enterprise)
  • Proficiency in No

    SQL data modeling concepts
  • Experience with:
    • Replica Sets and Sharding
    • Aggregation Framework
    • Indexing strategies
  • Knowledge of Linux/Unix environments
  • Experience with scripting (Shell, Python, or similar)
Tools & Platforms
  • Mongo

    DB Atlas
  • Docker / Kubernetes
  • Cloud platforms (AWS, Azure, or GCP)
  • Monitoring tools (Mongo

    DB Ops Manager, Prometheus, Grafana)
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