Azure Data Engineer Data & Analytics Domain

Azure Data Engineer Data & Analytics Domain

Location: Columbus, OH

Role Overview

We are seeking a skilled Azure Data Engineer with strong expertise in building and managing scalable data solutions within the Azure ecosystem. The ideal candidate will have hands-on experience in designing, developing, and optimizing ETL pipelines, along with a solid understanding of modern data engineering practices.

This role requires a professional who can work in a dynamic, fast-paced environment, collaborating with cross-functional teams to ensure efficient data integration, processing, and delivery. The candidate will be responsible for maintaining data pipelines, ensuring data quality, and implementing best practices for cloud-based data solutions.

The selected candidate will also play a key role in documenting data workflows, improving system performance, and supporting continuous innovation in Azure-based data platforms.

Key Responsibilities

Design, develop, and manage ETL pipelines using Azure Data Factory (ADF)

Optimize and troubleshoot ADF workflows to ensure performance and reliability

Work with Azure Data Lake, Synapse, and related services for data storage and processing

Develop and optimize complex SQL queries, stored procedures, and data transformations

Document ETL processes, pipeline configurations, and data flow diagrams for maintainability

Ensure data quality, governance, security, and compliance within cloud environments

Collaborate with cross-functional teams to gather and implement data requirements

Implement CI/CD pipelines and manage version control using Git

Continuously explore and adopt best practices for Azure-based data engineering solutions

Support data integration and transformation processes across multiple data sources

Required Qualifications

Strong proficiency in SQL, including advanced query optimization and stored procedures

Hands-on experience with Azure Data Factory (ADF) for pipeline development

Experience working with Azure Data Lake, Synapse, and related Azure services

Solid understanding of ETL concepts and data integration best practices

Proven ability to troubleshoot and optimize data workflows

Experience with version control systems (Git) and CI/CD pipelines

Knowledge of data governance, security, and compliance in cloud environments

Strong analytical and problem-solving skills with high attention to detail

Preferred Qualifications

Experience with Microsoft Fabric (Lakehouse, OneLake)

Exposure to modern data architecture patterns and cloud-native solutions