Azure Data Engineer: Build & Optimize Fabric Pipelines

Talentify; Columbus (OH); Sur place; USD 110 000 - 150 000; Plein temps

Résumé du poste

NAC is seeking an experienced Data Engineer to design, build, and optimize data solutions on Microsoft Azure and Microsoft Fabric. You will work on modern data stacks, automate data pipelines, and deliver reliable lakehouse data for analytics and reporting in an enterprise setting.

The role involves transforming data from various sources, managing end-to-end data flows, and ensuring high-quality, governed data for dashboards and ML workflows.

Qualifications

• Bachelor’s degree in computer science, data engineering or related field preferred (or equivalent experience).
• At least 3 years of experience as a Data Engineer in large enterprise environments.

Responsabilités

• Design, build, and maintain scalable data pipelines and integration workflows on Azure.
• Develop and maintain ETL/ELT processes for reporting, analytics, and ML.
• Build ingestion patterns from business apps, APIs, databases, and file feeds.
• Implement scheduling and orchestration to run recurring data loads reliably.

Connaissances

Azure data services

Microsoft Fabric

SQL

Python

Data governance

Data quality

Formation

Bachelor’s degree in computer science or related field

Outils

Data Factory

Synapse Analytics

Azure Databricks

Data Lake

Databricks

Power BI

Git / Azure DevOps

Description du poste

NAC is seeking an experienced Data Engineer to design, build, and optimize data solutions on Microsoft Azure and Microsoft Fabric. You will work on modern data stacks, automate data pipelines, and deliver reliable lakehouse data for analytics and reporting in an enterprise setting.

The role involves transforming data from various sources, managing end-to-end data flows, and ensuring high-quality, governed data for dashboards and ML workflows.