Data & Integration Engineer (GenAI)

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