GenAI Data Integration Engineer

Saksoft Pte Ltd

Singapore

On-site

SGD 120,000 - 180,000

Full time

3 days ago
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Job summary

Saksoft Pte Ltd is seeking a Data & Integration Engineer to operate at the intersection of system analysis, enterprise integration, and data engineering. You will support GenAI initiatives by ensuring reliable data movement, transformation, and availability across the ecosystem.

The role requires translating business requirements into data flows, collaborating with multiple teams, and delivering robust data integration solutions to enable AI workflows and knowledge retrieval across

Qualifications

  • 5–10 years of experience in system analysis, integration engineering, or data engineering roles.
  • Ability to translate requirements into system/data flows and interface specs.
  • Experience delivering enterprise integrations with upstream and downstream teams.
  • Proficiency with REST APIs, SFTP, batch processing, and data pipeline orchestration.
  • Strong SQL and basic to moderate Python for data handling, scripting and troubleshooting.

Responsibilities

  • Analyse business and technical requirements and translate them into data flows and integration designs.
  • Work with upstream and downstream teams to define data contracts and interfaces.
  • Identify gaps, inefficiencies and risks in current data movement processes.
  • Propose pragmatic solutions balancing speed, quality and maintainability.
  • Design and implement data movement across systems using APIs, SFTP, batch pipelines, and file transfers.

Skills

Data Engineering
System Integrations
Python
SQL
Java

Tools

Informatica
Cloudera
Git
Jira
Confluence
Control-M
Splunk
OTEL

Job description

Saksoft Pte Ltd is seeking a Data & Integration Engineer to operate at the intersection of system analysis, enterprise integration, and data engineering. You will support GenAI initiatives by ensuring reliable data movement, transformation, and availability across the ecosystem.

The role requires translating business requirements into data flows, collaborating with multiple teams, and delivering robust data integration solutions to enable AI workflows and knowledge retrieval across

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