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System Analyst (CBS, Credit Products)

Salmon Group · Kazakhstan

Quick applyfull-time3 days ago

About The Role

We're looking for a System Analyst with a strong data background to work at the intersection of our core banking, accounting systems, and data warehouse. You'll dig into how data moves across backend modules, integrations, and reporting layers — making sure changes don't break consistency downstream — and you'll own the technical documentation and integration design that keeps everything aligned.

Key responsibilities

  • Analyze technical requirements, infrastructure and data changes for core banking, accounting systems, and DWH
  • Assess the impact of data changes on data consistency, pipelines, and downstream reporting/analytics layers
  • Design and document system integrations, data flows, and API interactions
  • Participate in architecture discussions for backend modules and infrastructure components
  • Support data migrations, replication, and synchronization processes
  • Investigate production incidents related to integrations, infrastructure, or data inconsistencies
  • Collaborate with DevOps and engineering teams to ensure smooth deployments and system updates
  • Prepare technical documentation and UML/BPMN diagrams for backend modules and system configurations

Requirements

  • 3+ years as a System Analyst / Technical Analyst on backend or infrastructure projects
  • Experience with core banking or accounting platforms
  • Strong understanding of data architecture: data storage solutions, ETL/ELT processes, data transformation, and DWH integration
  • Solid understanding of system integrations (API, ESB, message queues, batch processes)
  • Strong SQL skills (PostgreSQL, MS SQL, Oracle) for data validation and investigation
  • Ability to read logs, investigate backend issues, and support troubleshooting
  • Experience designing technical documentation and system diagrams (UML, BPMN)
  • English: Intermediate+ for documentation and technical communication

Nice to have

  • Understanding of data quality, data validation, and monitoring practices
  • Understanding of high-availability and failover configurations
  • Familiarity with Kafka, RabbitMQ, or similar message brokers
  • Hands-on experience with REST/SOAP API testing and integration troubleshooting

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