Senior Azure Data Engineer: Cloud Data Pipelines Lead

AIT Global inc.; Irving (TX); Hybrid; USD 120,000 - 150,000; Full time

Job summary

AIT Global inc. seeks a Senior Azure Data Engineer to design, develop, and maintain scalable data solutions on the Microsoft Azure data platform. You will build data pipelines, work with Azure Data Factory, Databricks, and Azure SQL, and optimize data integration across sources.

In this hybrid role based in Irving, TX or Chicago, IL, you will collaborate with analysts, BI developers, and stakeholders to ensure data quality, security, and performance while following best practices for reliability.

Qualifications

• Experience designing scalable data solutions on Microsoft Azure.
• Strong hands-on experience building data pipelines and integration solutions.
• Ability to develop complex SQL queries and transformations.

Responsibilities

• Design, develop, and maintain Azure-based data pipelines and ETL/ELT processes.
• Build and optimize data solutions using Azure Data Factory, Azure Databricks, Azure SQL, and related Azure services.
• Develop complex SQL queries, stored procedures, and data transformations.
• Integrate data from multiple sources into enterprise data platforms.
• Monitor, troubleshoot, and optimize data pipelines and processes.
• Implement data quality, validation, and performance optimization practices.
• Collaborate with Data Analysts, BI Developers, Architects, and business stakeholders.
• Follow best practices for data security, scalability, and reliability.

Skills

SQL

ETL/ELT

Data pipelines

Azure data platform

Cloud data platforms

Tools

Azure Data Factory

Azure Databricks

Azure SQL

Job description

AIT Global inc. seeks a Senior Azure Data Engineer to design, develop, and maintain scalable data solutions on the Microsoft Azure data platform. You will build data pipelines, work with Azure Data Factory, Databricks, and Azure SQL, and optimize data integration across sources.

In this hybrid role based in Irving, TX or Chicago, IL, you will collaborate with analysts, BI developers, and stakeholders to ensure data quality, security, and performance while following best practices for reliability.