Senior
Integration Analyst
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Take full ownership and management of the end-to-end Requirements Engineering process.
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Perform detailed analysis of source system data models, structures, and metadata.
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Support source-to-target data mapping between applications, APIs, and events.
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Document canonical models, semantic mappings, and reusable integration patterns.
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Assess the technical feasibility of integration use cases.
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Evaluate optimal integration patterns (API, events…).
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Support architects in defining the target solution design.
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Produce functional and technical specifications for integration and data flows.
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Define interface contracts, mapping rules, data quality rules, error-handling rules, and validation checks.
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Maintain clear and accurate documentation across all integration projects.
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Work closely with Data & AI Integration Architects to ensure alignment with enterprise architecture.
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Partner with Integration Engineers and Application Owners to implement data flows efficiently.
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Support Data and AI Platform teams in designing ingestion strategies and metadata standards.
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Develop detailed test scenarios for interface and data validation.
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Support engineers in integration testing, regression testing, and data quality testing.
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Validate end-to-end data flows post-implementation.
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Contribute to continuous improvement of integration standards, templates, and best practices.
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Support governance processes for metadata, lineage, and API/interface versioning.
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