Fabric Analytics Engineer

EXL Talent Acquisition Team; United States; Ibrido; USD 62.000 - 104.000; Tempo pieno

Descrizione del lavoro

EXL Service in the United States is hiring a data architecture professional to design and implement end-to-end data solutions using Microsoft Fabric components such as Data Factory, Lakehouse, and OneLake. The role is hybrid, based in Newark, NJ.

You will design scalable data models for insurance datasets, create reference architectures, and build ingestion pipelines supporting batch and real-time data integrations, with a focus on performance and cost efficiency across Azure and Fabric.

Mansioni

• Design scalable data models and integration patterns for insurance datasets.
• Create architectural blueprints and reusable frameworks aligned with enterprise standards.
• Develop ingestion pipelines using Fabric Data Factory for batch and real-time data integrations.
• Build Lakehouse-centered architectures to support analytics, reporting, and ML workloads.
• Optimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments.

Descrizione del lavoro

Hybrid; Newark, NJ

Up to $104k plus bonus

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Architect and implement end‑to‑end data solutions using Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Real‑Time Analytics, and OneLake.

• Design scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information.
• Create architectural blueprints, reference architectures, and reusable frameworks that align with enterprise engineering and cloud standards.
• Develop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations.
• Build Lakehouse‑centered architectures to support advanced analytics, reporting, and machine learning workloads.
• Optimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments.