Role Overview

Build and support enterprise data integrations using IBM webMethods or API Connect across on-premises and AWS platforms.

Key Responsibilities

- Build and support ETL/ELT processes, APIs, and file, database, and event-driven integrations.

- Gather integration requirements and create source-to-target mappings.

- Write SQL, stored procedures, and transformation logic, and support integrations on AWS (S3, Aurora, RDS, DynamoDB, EC2).

- Monitor integrations, and troubleshoot failures, data quality issues, and production incidents.

- Test, document, and deploy integrations through CI/CD, using AI-assisted development tools.

Must Have Skills

- 2 - 4 years in data integration, ETL development, or application integration.





- Hands-on IBM webMethods or IBM API Connect.

- Python and AWS services on SaaS or cloud platforms.

- Robust SQL on relational databases (SQL Server, PostgreSQL, Oracle, MySQL, or DB2), with JSON, XML, and REST/SOAP.

- AI IDEs (Claude Code or similar) and clear communication with technical and business teams.

Nice to Have

- Informatica, Talend, or Information Builders

- Message queues or event-driven architecture

- Git, GitHub, or Azure DevOps

- Financial services or regulated industry experience

- Cloud, data, or AI certifications

📌 Data Integration Engineer (IBM webMethods) (Chennai)
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