Location - Hyderabad/Bangalore/Gurgaon/Mumbai
Experience : 8–12 Years total; minimum 2–3 years extensive hands-on delivery on IDMC (Cloud Data Integration, Cloud Application Integration, Cloud Data Quality)
Role Summary
Owns the integration and data quality layer around the product master. Hands-on build of ingress and egress pipelines, real-time and API-based integration, and the data quality rule set — while setting the design and build standards the integration team works to. Covers Cloud Data Integration, Cloud Application Integration and Cloud Data Quality.
Technical Responsibilities
Ingress — Build CDI mappings, mapping tasks and task flows landing source data into the MDM staging layer. Implement source-to-target mappings, type handling, deduplication, rejection handling and reconciliation counts.
Egress — Build publication pipelines pushing golden records, hierarchies and reference data to downstream consumer systems — batch and event-driven.
Real-time integration — Develop CAI processes, service connectors, process objects and app connections.
Expose and consume REST and SOAP services; implement synchronous call outs against Business Entity APIs with retry and fault handling.
Data quality — Author CDQ rule specifications, cleanse, standardize, parse and labeler transformations, reference dictionaries, profiles and scorecards. Wire DQ checks into the ingress path and define monitoring thresholds.
Profiling and remediation — Profile legacy source data — percent populated, value distributions, active versus obsolete picklist values — and own the remediation approach for attributes migrating into the master.
Migration — Build initial and delta load pipelines for existing product and SKU records, with reconciliation, exception reporting and rerun capability.
Runtime and performance — Configure Secure Agent runtime settings and connectors; tune for volume — partitioning, push down optimization, incremental extracts, job sequencing and schedu
📌 Sr Integration Engineer Bengaluru (India)
🏢 AuxoAI
📍 India