MDM Data Engineer
Location: Remote (Offshore)
Job type: Full time

Must Have Skills:
SKills
Rating out of 5
No of years exp
Snowflake- 5 Years
PL/SQL- 5 Years

Master Data Management- 5 Years

Scripting – Python- 5 Years

SAP/Salesforce/Engage to Graph DB- 5 Years

DBT- 5 Years

Minimum IT Experience: 8+ Years

Role Summary
The MDM Data Engineer will build and operate the data pipelines, models, and profiling capabilities that power enterprise Master Data Management program. The engineer will work across the RAW / STAGED / PROFILE three-layer architecture, ingest data from authoritative source systems (SAP, Salesforce/Engage, and others), and contribute to the graph-based MDM model spanning Clubs, Schools, Colleges, and Individuals, along with the parallel Product MDM Style/Variant model. This is an offshore position operating in close collaboration with the onshore data architecture and platform teams.
Required Skills
Strong hands-on experience building data pipelines and models on Snowflake, including warehouse sizing, resource monitors, RBAC, streams/tasks,



and cost-aware query design.
Advanced SQL skills, including window functions, recursive CTEs, complex joins, MERGE patterns, and query performance tuning against large datasets.
Solid Python development experience for data engineering — building ingestion jobs, transformation logic, reusable libraries, and automation scripts.
Experience implementing and operating layered data architectures (e.g., RAW / STAGED / CURATED or Bronze / Silver / Gold), including landing-zone design, standardization, deduplication, and publication layers.
Practical experience with data profiling and data quality — column-level statistics, pattern detection, uniqueness/nullability analysis, and rule-based validation. Profiling logic must be implemented in a database-agnostic manner (portable SQL and Python), not tied to Snowflake-specific features.
Experience integrating with SAP as a source system, including familiarity with SAP mas

📌 Master Data Management engineer (India)
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📍 India