# Data & Integration Engineer (GenAI)

**Company:** [Unison Group](http://jobs.workable.com/companies/deKpPhPMtQZga7XoPG1tSo.md)
**Location:** Singapore, Singapore
**Workplace:** on site
**Employment type:** Full-time
**Department:** Bharat

[Apply for this job](http://jobs.workable.com/view/a7b8e708-7da7-4af7-8591-e3933d4125e0)

## 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

## 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