Sr Integration Engineer (Informatica CDI and CAI Lead)

Location - Hyderabad/Bangalore/Gurgaon/Mumbai
Experience : 8–12 Y ears 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 environments and connectors; tune for volume — partitioning, push down optimization , incremental extracts, job sequencing and scheduling.

- Parameterisation and reuse — Establish reusable assets, mapplets, parameter sets and naming standards so the pipeline estate stays maintainable.

- Operations — Define error handling, alerting, restartability and operational runbooks; support pipelines through test cycles into production.

- Technical leadership — Set build standards, review the work of junior integration resources, and own estimation for the integration work stream.

Mandatory Technical Skills

- IDMC — mandatory — Minimum 2–3 years of extensive, hands-on build on IDMC across Cloud Data Integration, Cloud Application Integration and Cloud Data Quality. This is a hard requirement.

- CDI — Strong hands-on build — mappings, mapping tasks, taskflows , mapplets, parameterisation , dynamic mappings, error and reject handling, scheduling.

- CAI — Process and orchestration design, service connectors, process objects, app connections; REST and SOAP service exposure and consumption; fault handling and retries.

- CDQ — Rule specifications, cleanse and standardize transformations, dictionaries, profiling and scorecards, and integration of DQ into pipelines.

- MDM integration — Direct experience integrating with an MDM platform — ingress and egress patterns and working against MDM APIs, not just database-to-database movement.

- Connectors — Salesforce, ERP (SAP or Dynamics), flat file and cloud object storage; understanding of connector limits, API quotas and bulk versus row-level operations.

- SQL and volume — Strong SQL ; demonstrable experience with high-volume loads, reconciliation and performance tuning.

- Ownership — Track record owning an integration workstream end to end, including design and estimation, rather than building to another architect's design.

Preferred Technical Skills

- Informatica certification in CDI, CAI or CDQ.

- Event-driven publication — messaging, streaming or webhook-based patterns.

- CI/CD and automated asset promotion across IDMC orgs using platform REST APIs.

- Cloud Data Governance and Catalog, or Metadata Command Center exposure.

- Product or pricing data domain experience.