Role: Data Engineer (Microsoft Fabric, Sales & Marketing Signals)

Experience: 5+ Years

Location: Gurugram/Remote

Project Overview: Build the Fabric data foundation for targeting: coverage universe, engagement signals, call history, trades, a nightly feature table per contact, and outcome/label tables for the feedback loop.

Scope of Work:

- Incremental, idempotent pipelines into OneLake: Salesforce, Pardot, website/microsite analytics, FINTRX, trade/position, market data.
- Entity resolution across Salesforce, FINTRX, marketing and web, with a review queue.
- Nightly feature table (versioned schema), outcome and label tables, daily evaluation report.
- Semantic model and Fabric IQ ontology for the sales domain; row-level security by territory and role.
- Data quality checks, lineage, Purview registration, capacity tuning.





Key Responsibilities:

- Own the feature contract and pipelines; publish by 05:00 ET with monitoring.
- Pair with the AI engineer on features and labels; tests, documentation, runbooks.

Profile

- Must have: Fabric in production (Lakehouse, Delta, pipelines, Spark/Python, SQL endpoint, semantic models); solid SQL and Python; Salesforce and Pardot data extraction; incremental pipeline design and data quality testing.
- Plus: web analytics data, entity resolution, ML-ready features, Fabric IQ ontology, Purview, Git deployment for Fabric.
- Not a fit: BI-report-only or Purview-configuration-only backgrounds.

📌 Data Engineer Microsoft Fabric, Sales & Marketing Signals (Gurugram)
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📍 Gurugram