Data & Integration Engineer (GenAI)

Unison Group; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Unison Group is seeking a Data & Integration Engineer to bridge system analysis, enterprise integration and data engineering in support of GenAI initiatives. You will translate business requirements into data flows, design interfaces and pipelines across upstream and downstream systems.

You will develop scripts and APIs, coordinate data contracts, and ensure reliable data movement within the DataLake ecosystem (Informatica, Cloudera, etc.).

Qualifications

• Proven experience in system analysis, integration engineering, data engineering or technical delivery roles.
• Translate requirements into system/data flows and interface specifications.
• Deliver enterprise integrations with upstream/downstream teams.
• Hands-on experience with REST APIs, SFTP, batch processing and data pipeline orchestration.
• Knowledge of data mapping, transformation, reconciliation and data quality controls.
• Strong SQL and Python for data handling, scripting and troubleshooting.
• Exposure to Java and enterprise data platforms (Informatica/Cloudera).
• Familiarity with Git, CI/CD, Jira/Confluence and deployment processes.
• Experience with scheduling tools like Control-M; knowledge of logging/monitoring (OTEL, Splunk, Elastic).
• Familiarity with GenAI concepts (document ingestion, embeddings, RAG).

Responsibilities

• Translate business requirements into data flows and integration designs.
• Coordinate data contracts/interfaces across upstream and downstream teams.
• Develop scripts/programs to extract data from different integration systems.
• Develop APIs to interface with relevant systems.
• Ensure reliable movement, transformation and availability of data 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 batch pipelines.

Skills

REST APIs

SFTP

Batch processing

Data pipeline orchestration

Data mapping

Data transformation

Data aggregation

Data quality controls

SQL

Python

Java

Informatica

Cloudera

Git

CI/CD

Jira

Confluence

Control-M

OTEL

Splunk

Elastic Stack

GenAI concepts

Tools

Informatica

Cloudera

Job description

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

Key Requirements

• 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