Job highlights

- 5+ years experience with Microsoft Fabric production (Lakehouse, Delta, pipelines, Spark/Python, SQL endpoint, semantic models), Salesforce and Pardot data extraction, incremental pipeline design and data quality testing
- Build and maintain incremental, idempotent data pipelines into OneLake; own feature contracts and pipelines; collaborate with AI engineers on features, labels, tests, and documentation

Role & responsibilities Data Engineer Microsoft Fabric, Sales & Marketing Signals

Experience: 5+ Years

Location: 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

Preferred candidate profile

Perks and perks

📌 Data Engineer (Hyderabad)
🏢 VService IT Solutions
📍 Hyderabad