Informatica Data Integration Developer​/Lead

Job Title:

Informatica Data Integration Developer/Lead

Location:

Chennai/Bangalore/Hyderabad
Budget:  Open to discuss
Notice Period :
Immediate joiner/ Serving notice with less than 45 days/Notice is less than 30 days

Please find below JD for Informatica Data Integration Developer.

Position Summary
The IDMC Data Integration Developer leads technical delivery of data integration solutions, designing complex mappings, optimizing performance, and mentoring junior team members. This role requires hands-on expertise in CDI, CDQ, and CAI with the ability to work directly with clients and integrate with MDM SaaS implementations.

Key Responsibilities
Cloud Data Integration (CDI)
Design and develop complex ETL/ELT mappings with advanced transformations
Build enterprise Task Flows with error handling, restartability, and notifications
Configure Mass Ingestion for high-volume data loading
Implement change data capture (CDC) patterns
Develop MDM SaaS ingress/egress jobs using FEP Connector, Business Events
Perform job performance tuning and optimization
Support Power Center to CDI migration projects

Cloud Data Quality (CDQ)
Design and implement comprehensive data quality rules
Configure address standardization and verification (Address Doctor)
Implement data deduplication and matching logic
Integrate DaaS services for data enrichment
Build data quality scorecards and monitoring

Cloud Application Integration (CAI)
Develop API-based integrations using CAI processes
Implement real-time event-driven patterns
Configure connectors for SaaS applications (Salesforce, SAP, Workday)
General
Lead technical work streams and coordinate with cross-functional teams
Create technical design documents and mapping specifications
Conduct code reviews and mentor Associate consultants
Participate in client workshops and requirements sessions

Technical Skills Required
Required
Advanced CDI mapping development (Joiner, Aggregator, Router, custom functions)
Task Flow design with parallel execution, error handling, and recovery
Mass Ingestion configuration and optimization
CDQ profiling, rules, standardization, and deduplication
CAI process development and API integration
Secure Agent configuration and troubleshooting
Strong SQL and database skills
MDM SaaS integration (FEP Connector, Business Events, egress patterns)
Preferred
Power Center expertise (for migration projects)
Cloud data platforms:
Snowflake, Databricks, AWS Redshift, Azure Synapse, Big Query
Python and PySpark for data engineering tasks
CDGC for data governance and lineage
CLAIRE AI features (Copilot, smart mapping)
AI/ML fundamentals and GenAI application awareness

Qualifications
Required
Bachelor's degree in Computer Science, Information Systems, or related field
4-8 years of experience in data integration with at least 2 years on IDMC or Power Center
Data Engineering Professional certification or CDI Developer certification
Hands-on experience with at least one cloud data platform
Excellent communication skills for client interaction
Preferred
CDQ Professional certification
Cloud certifications:
Snowflake Snow Pro, Databricks Data Engineer, AWS/Azure

Please find below JD for Informatica Data Integration Lead.

Position Summary
The IDMC Data Integration Lead designs enterprise-grade data integration architectures, leads complex implementations, and provides technical leadership for CDI, CDQ, and CAI solutions. This role combines hands-on with deep technical expertise with the ability to guide teams, engage with senior client stakeholders, and support pre-sales activities.

Key Responsibilities
Architecture & Design
Design enterprise data integration architectures (batch, real-time, hybrid)
Create solution designs including HLD/LLD and architecture patterns
Design data lake and data warehouse integration patterns
Architect MDM SaaS integration solutions (ingress, egress, real-time sync)
Design Secure Agent architecture including HA, multi-agent, and failover
Establish CI/CD pipelines for IDMC asset deployment
Technical Leadership
Design data quality frameworks and governance standards
Configure CLAIRE AI features for productivity (Copilot, smart mapping, AI recommendations)
Drive performance optimization for high-volume data processing
Conduct architecture reviews and quality gates
Lead Power Center to CDI migration strategy and execution
Client Engagement
Lead technical discovery and requirements workshops
Provide pre-sales support including demos, POCs, and proposals
Engage with client architects and senior stakeholders
Mentor Specialist and Associate consultants

Technical Skills Required
Required
Enterprise data integration architecture (EAI, ETL, ELT, CDC, streaming)
Advanced CDI: complex mappings, hierarchical data, advanced transformations
CDQ: enterprise DQ frameworks, scorecards, remediation workflows
CAI: API design, event-driven architecture, microservices integration
MDM SaaS integration patterns (FEP, Business Events, MDM Extensions)
Kafka, Event Hubs for streaming integration
Secure Agent architecture: HA, serverless, multi-agent deployment
CI/CD for…