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
