Senior Azure Data Engineer || Westchester, PA (Onsite)

Job Title: Sr. Azure Data Engineer

Location: Westchester, PA

In-person Interview

Key Responsibilities

• Design, develop, and support ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric.
• Build scalable integrations across databases, APIs, files, ERP systems, and streaming/event-driven sources.
• Develop and optimize Azure SQL/T-SQL, including queries, stored procedures, transformations, and data models.
• Implement Microsoft Fabric solutions using Data Factory, Lakehouse, Warehouse, OneLake, pipelines, and notebooks.
• Establish Git-based CI/CD using Azure DevOps/Azure Pipelines or GitHub Actions.
• Implement data quality, reconciliation, logging, monitoring, error handling, security, and performance optimization.
• Troubleshoot production issues and perform root-cause analysis.
• Collaborate with architecture, application, analytics, and business teams on enterprise data solutions.

Required Technical Skills

• 8+ years of experience in data engineering, data integration, or enterprise data platforms.
• 5+ years of strong SQL/T-SQL development experience.
• Hands-on expertise with Azure Data Factory (ADF) and Azure SQL.
• Experience with Microsoft Fabric, preferably Data Factory, Lakehouse, Warehouse, OneLake, and notebooks.
• Strong experience developing enterprise-scale ETL/ELT and data pipelines.
• Experience with Git, Azure DevOps, and CI/CD deployment practices.
• Strong understanding of data modeling, data warehousing, integration patterns, and data architecture.
• Experience with data quality, monitoring, performance tuning, security, and production support.
• Exposure to event-driven/streaming architectures using Azure Event Hubs, Event Grid, Kafka, or similar technologies.
• Strong analytical, troubleshooting, communication, and documentation skills.

Preferred Qualifications

• Experience with Infor M3.
• Experience migrating/integrating data from Rubicon IBM DB2, and legacy systems.
• Knowledge of Master Data Management (MDM) and Product Information Management (PIM).
• Exposure to data governance/GRC frameworks.
• Knowledge of Python, PySpark, REST APIs, or Azure data lake technologies.
• Azure or Microsoft Fabric certifications are a plus.