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Data - Integration Engineer (GenAI)

Unison Group

Undisclosed

Singapore

Kongsi
Simpan

Lokasi Kerja

  • Singapore

Penerangan Kerja

Tanggungjawab

We are looking for a Data & Integration Engineer who operates effectively at the intersection of system analysis, enterprise integration and data engineering to support GenAI initiatives.

  • The successful candidate will:
  • Understand business and functional requirements
  • Translate them into data flows and integration designs
  • Work across upstream and downstream systems
  • Ensure reliable movement, transformation and availability of data for GenAI use cases
  • Develop scripts / programs to get data from different integration systems
  • Develop APIs to integrated with relevant systems.
  • Analyse business/technical requirements and translate them into data flows and integration designs
  • Work with upstream and downstream teams to define data contracts and interfaces
  • Support data ingestion and preparation for GenAI use cases
  • Coordinate integrations across systems in the DataLake ecosystem (Informatica, Cloudera, etc.)
  • Design and implement data movement across systems using:
      • APIs
      • SFTP and file based transfers
      • Batch pipelines

Requirements


Key Requirements

Below are the key skillsets that will be required for all relevant tasks mentioned:

  • Good years of experience in system analysis, integration engineering, data engineering or technical delivery roles.
  • Strong ability to translate requirements into system flows, data flows, interface specifications and implementation plans.
  • Experience working with upstream and downstream teams to define and deliver enterprise integrations.
  • Practical experience with REST APIs, SFTP, batch processing, file based integration and data pipeline orchestration.
  • Good understanding of data mapping, transformation, aggregation, reconciliation and data quality controls.
  • Good SQL skills and basic to moderate Python skills for data handling, scripting, automation and troubleshooting.
  • Exposure to Java
  • Exposure to Informatica, Cloudera or similar enterprise data platforms.
  • Working knowledge of Git, branching, pull requests, code reviews and controlled release practices.
  • Familiarity with CI/CD, Jira, Confluence and enterprise deployment processes.
  • Experience with Control M or equivalent scheduling tools.
  • Familiarity with logging (OTEL) and monitoring tools such as Splunk Elastic Stack.
  • Exposure to GenAI concepts such as document ingestion, RAG, embeddings and data preparation for AI workflows.
  • Working experience with Informatica is preferable.

Strong communication skills, with the ability to challenge weak designs and coordinate across business, application, data, infrastructure and security teams.

  • Data Engineering,
  • System Integrations,
  • Python, SQL, Informatica

Peringatan Penting

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