Data Engineer Microsoft Fabric, Sales & Marketing Signals

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); strong 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.