Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Business Intelligence, Data Management, Data Modeling, Data Warehousing, Database Programming, Debugging Skills, Desktop PC, Documentation, Ecosystems, Editing, Fabric Management, GitHub, Information/Data Security (InfoSec), Machine Tool, Microsoft Product Family, Performance Modeling, Performance Tuning/Optimization, Power BI, Programming Tools, Query Optimization, REST (Representational State Transfer), SQL (Structured Query Language), Scalable System Development, Scripting (Scripting Languages), Star Schema
Role: Principal Power BI & Fabric Developer
Location: Princeton, New Jersey onsite
Mandatory Skills: Power BI & Fabric
Role Overview:
We are seeking a highly experienced, hands-on Power BI & Fabric Developer / Senior Data Engineer with minimum 10+ years of experience to join our team
In this role, you will lead the Clienthitecture, development, and optimization of enterprise-grade analytics solutions using Microsoft Fabric, Power BI, and robust SQL backend systems. The ideal candidate is a technical expert who leverages modern development practices (like Tabular Editor and GitHub Copilot) to deliver highly secure, performant, and scalable data models.
Key Responsibilities
Enterprise Analytics & Data Modeling: Design, build, and optimize scalable end-to-end data pipelines and advanced star-schema data models using Microsoft Fabric and Power BI.
Security & Governance: Implement enterprise-grade security protocols within Power BI, including Row-Level Security (RLS) and Object-Level Security (OLS) to safeguard sensitive data.
Advanced Development & Optimization: Utilize external tools like Tabular Editor for advanced BIM model management, DAX scripting, and model optimization.
Backend Database Engineering: Write, optimize, and maintain advanced SQL queries (leveraging complex Joins, Window functions, and indexing) for seamless data integration.
Fabric Ecosystem Management: Leverage Microsoft Fabric components (Lakehouses, Data Warehouses, Data Factory, OneLake, and DirectLake mode) to modernize data Clienthitecture.
API Integration: Connect, extract, and ingest data from various source systems using REST APIs.
AI-Driven Productivity: Integrate GitHub Copilot into daily workflows to accelerate code generation, debugging, and documentation for SQL, DAX, and scripts.
Required Skills & Qualifications
Experience: Minimum of 10 years of professional experience in Data Engineering, Business Intelligence, or Enterprise Analytics.
Advanced Power BI & Modeling: Deep expertise in Power BI Desktop/Service, advanced DAX, deployment pipelines, Advanced Data Modeling, and performance optimization.
Data Security: Proven experience implementing RLS and OLS.
Advanced SQL: Mastery of SQL engineering, including complex Joins, CTEs, performance tuning, and query optimization.
Microsoft Fabric: Hands-on experience navigating and building within the Microsoft Fabric ecosystem.
Tooling & Tools: Proficiency with Tabular Editor (for managing tabular models) and REST APIs for data integration.
Modern Development: Experience utilizing GitHub Copilot (or similar AI pair-programming tools) to optimize coding efficiency..
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