MDM Data Engineer / Senior Data Engineer

Tiger Analytics · MLOps · AI Consulting & Integration · Informatica · Master Data Management · 9 days ago
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Salary
≈ $21k – $45k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Aug 12, 2026.

Overview
Company
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Profile match

Tiger Analytics

Tiger Analytics is an advanced analytics and artificial intelligence consultancy founded in 2011 that builds data science and decision systems for consumer goods, retail, insurance, healthcare and technology clients. Its engagements typically run from data platform construction through model development to deployment and monitoring in production, rather than stopping at proof of concept, and it also packages recurring problem shapes into reusable accelerators. Headquartered in Santa Clara with its largest delivery organisation in India, it employs several thousand data scientists and engineers across North America, Europe, India and Australia.
tigeranalytics.com · HQ: Santa Clara, United States · MLOps · Data Engineering & Migration Services · AI Consulting & Integration · Analytics & BI Consulting · 1001-5000 employees · Est. 2011
Tech stack of Tiger Analytics
  • 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.
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