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# Azure Data Engineer - Utility Domain Exp Must

- **Company:** Staffxpert Llc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $249,600.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Cloud Computing Security, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Security, Database Development, Identity and Access Management, Meta-Data Management, Query Optimization, Role-Based Access Control, Power BI, Standard Sql, Azure Machine Learning, Azure Data Lake, SQL Databases, TypeScript, AI Infrastructure, Enterprise Data Management, Data Processing, Azure Data Factory, Apache Spark, Data Lineage, Cosmos DB, Azure Synapse Analytics, Data Pipelines, Serverless Computing, Databricks
- **Published:** June 1, 2026
- **Apply:** https://www.careerjet.com/jobad/us0827cc9ffde0b49620937c3895f3adbe

## About the Role

Strong hands-on experience with Azure Data Factory (ADF)
Expertise in Azure Databricks and Apache Spark
Experience with Azure Data Lake, Power BI, and SQL
Advanced SQL development and query optimization skills
Experience designing scalable ETL/ELT pipelines
Strong understanding of Azure security concepts including IAM, RBAC, encryption, and secure data communication
Experience with data governance, metadata management, and data lineage
Databricks Certified Data Engineer Associate certification
Preferred Qualifications
Experience with Azure Synapse Analytics, Azure Cosmos DB, or Azure Machine Learning
Knowledge of serverless Azure architecture
Experience with .NET / C# is a plus
Azure certifications such as Azure Security Engineer Associate or Azure Solutions Architect Expert preferred
Prior experience in enterprise or regulated industry environments is a plus

## Description

STAFFXPERT LLC is seeking an Azure Data Engineer on behalf of our client in New York, NY. The ideal candidate will have strong expertise in Azure cloud technologies, Databricks, and enterprise data engineering. This role involves designing scalable data solutions, developing high-performance ETL/ELT pipelines, and supporting advanced analytics and business intelligence initiatives within a secure cloud environment., Design, develop, and maintain scalable data solutions on Microsoft Azure
Build and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks
Develop and manage enterprise data lake solutions using Azure Data Lake Storage (ADLS)
Implement Spark-based data processing solutions for large-scale datasets
Create dashboards and reporting solutions using Power BI
Ensure data quality, governance, lineage, and compliance standards are maintained
Collaborate with cross-functional teams including analytics, engineering, and business stakeholders
Optimize SQL queries, data models, and overall pipeline performance
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