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Open nowPosted 29 days ago

Data & Integration Engineer

MyCareersFuture94,028 open roles

Pay
SGD 3,500 – SGD 8,500 a month
Where
Central, Singapore
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Your applicationOpen nowData & Integration EngineerMyCareersFuture · Central, Singapore

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This job: posted 29 days ago

The posting

Experience: 3-9 Years Role: Data & Integration Engineer

Key Skills: · Data Engineering,

· System Integrations,

· Python, SQL, Informatica

Responsibilities:

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.

The focus is on getting data into the right place, in the right format, reliably.

What Matters Most

 Strong system thinking and ability to understand end to end flows

 Ability to challenge bad designs and propose better ones

 Strong stakeholder communication

 Hands on enough to troubleshoot and implement, but not a pure coder

 Experience navigating messy enterprise ecosystems

Key Responsibilities 1. System Analysis & Design

  • 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
  • Identify gaps, inefficiencies and risks in current data movement processes
  • Propose pragmatic solutions balancing speed, quality and maintainability

2. Integration & Data Movement

  • Design and implement data movement across systems using:
  • APIs
  • SFTP and file based transfers
  • Batch pipelines
  • Coordinate integrations across systems in the DataLake ecosystem (Informatica, Cloudera, etc.)
  • Ensure data is correctly transformed, mapped and delivered to target systems
  • Troubleshoot integration issues across environments

3. Data Preparation for GenAI

  • Support data ingestion and preparation for GenAI use cases:
  • document ingestion
  • data aggregation
  • enrichment and transformation
  • Work with structured and unstructured data
  • Ensure data is usable for downstream AI workflows (RAG, search, investigation flows)

You are not asking them to build models, just make data usable for them.

4. Delivery & Coordination

  • Work across multiple teams:
  • data platforms
  • application teams
  • infrastructure
  • security
  • Support SIT, UAT and production rollouts
  • Ensure integration reliability, error handling and monitoring
  • Document flows, mappings and interfaces clearly

Requirements:

Key Requirements

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

· 5-10 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.

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