Responsibilities
- Design and implement cloud-based data integration workflows using IICS components such as Cloud Data Integration and Data Quality.
- Develop and manage ETL and ELT processes for moving and transforming data between cloud platforms and on-premises systems.
- Create secure and efficient integration workflows using IICS mapping tasks, parameterized jobs, and transformation logic.
- Build and maintain reusable integration templates, mappings, and components to improve development speed and consistency.
- Work with architects, data teams, and business units to define data integration needs and data interface agreements.
- Diagnose and resolve live integration issues, conduct root cause analysis, and apply corrective solutions.
- Automate deployment pipelines and manage CI/CD processes for IICS assets across development, testing, and production environments.
- Set up monitoring systems, alerts, and operational procedures for data integration jobs.
- Apply data quality rules, perform data profiling, and collaborate with business teams to resolve data inconsistencies.
- Produce technical documentation including design specifications, data flow diagrams, and operational runbooks.
- Support governance initiatives related to connectivity, access management, security policies, and cost-efficient resource usage.
Responsibilities
- Design, develop, test and deploy data integration solutions using IICS (Cloud Data Integration, Application Integration, Data Quality, Data Synchronization).
- Build ETL/ELT pipelines to ingest, transform, and deliver data between cloud and onprem systems (SaaS, databases, data lakes, data warehouses).
- Implement secure and performant integration patterns using IICS mapping tasks, mappings, tasks, and parameterization.
- Develop and maintain reusable templates, mappings, and components to accelerate delivery.
- Collaborate with architects, data engineers, analytics teams, and business stakeholders to define integration requirements and data contracts.
- Troubleshoot and resolve production incidents; perform root cause analysis and implement fixes.
- Automate deployments and CI/CD for IICS artifacts (Dev → Test → Prod), including versioning, changelogs, and release notes.
- Implement monitoring, alerting, and operational runbooks for integrations.
- Enforce data quality rules and profiling; work with business to remediate data quality issues.
- Prepare technical documentation: design documents, runbooks, data flow diagrams, and support guides.
- Support platform governance: connectivity, security, access controls, best practices, and cost optimization.
