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MDM Senior Data Engineer @ Tiger Analytics

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 MDM Senior Data Engineer

Job Description

Role & responsibilities

  • As a Senior Data Engineer, you will be responsible for design and develop Business Entity models, hierarchies, and relationships in Informatica MDM SaaS
  • Refactor and configure match rules, merge logic, and survivorship policies for golden record creation
  • Implement and optimize data quality rules for cleansing, standardization, and validation
  • Integrate Address Doctor and other DaaS services via Cloud Application Integration (CAI)
  • Build and maintain data pipelines for batch and real-time integration with enterprise systems and cloud platforms (e.g., Azure Data Lake)
  • Perform data profiling, deduplication, and enrichment activities
  • Lead the migration of master data from Informatica MDM on-premises to Informatica MDM SaaS, ensuring data integrity, completeness, and continuity
  • Collaborate with data architects, stewards, and business stakeholders to align MDM with governance policies
  • Conduct post-migration validation to ensure accuracy and completeness of master data
  • Support cutover planning, go-live readiness, and post-deployment stabilization
  • Mentor junior Data Engineers and contribute to best practices and technical documentation

Preferred candidate profile

  • 8+ years of technical experience in Master Data Management with 5+ years of specialized experience with Informatica MDM (On-premises) and 3+ years in Informatica SaaS MDM or Informatica MDM modernization or cloud migration programs completed at least 2-3 full life cycle
  • Expertise in Informatica MDM (Hub Console, IDD, BES, SIF APIs, Customization)
  • Proven expertise in Informatica SaaS including Business Entity Services, Business 360 Console, Relationship 360, and Reference 360
  • Strong understanding of Customer, Product, Supplier, Location, and Material domains.
  • Demonstrated success in end-to-end MDM migrations from on-premises to SaaS, including data model refactoring, match/merge rules, survivorship logic, and stewardship workflows
  • Strong command of data quality frameworks, including rule design, profiling, cleansing, and enrichment using Informatica Data Quality (IDQ)
  • Experience integrating Cloud Application Integration (CAI) with external services like Address Doctor for real-time validation
  • Proven track record in migrating on-prem MDM to SaaS, including:
  • Designing migration playbooks/runbooks
  • Automating entity model generation and metadata mapping
  • Ensuring data integrity, security, and minimal downtime
  • Source-to-target mapping
  • Data profiling and cleansing
  • Transformation logic and survivorship alignment
  • Incremental and bulk load strategies
  • Experience with zero-downtime cutover planning, rollback strategies, and parallel run validations
  • Proficiency in SQL, Informatica - CDI/ CDQ/ CAI, and metadata management.
  • Hands-on experience with cloud platforms - Azure and enterprise integration patterns
  • Excellent communication and stakeholder engagement skills, with the ability to translate technical concepts into business value

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Tiger Analytics
Location(s): Hyderabad

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Keyskills:   Informatica MDM Development Informatica MDM SaaS Business Entity models

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