Azure Data Engineer

Location: Grand Rapids (MI) | Employment Type: Full Time - 40 hours per week | Job Level: T3 | Work Preference: Remote Work From Home | Job Code: 243294

Job Description:

Job Title: Azure Data Engineer (Azure Data Factory & Azure Data Lake)

Overview / Summary
We are seeking an experienced Azure Data Engineer responsible for designing, developing, and maintaining scalable data integration and data storage solutions using Microsoft Azure services. The ideal candidate will have expertise in Azure Data Factory, Azure Data Lake Storage, ETL/ELT processes, data warehousing, and cloud-based analytics platforms.

Key Responsibilities
• Design, develop, and maintain data pipelines using Azure Data Factory.
• Build and manage enterprise-scale data lakes using Azure Data Lake Storage.
• Develop ETL/ELT workflows for ingesting data from multiple sources, including databases, APIs, flat files, and cloud applications.
• Implement data transformation processes using Mapping Data Flows, SQL, and Spark technologies.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Configure incremental data loads, CDC (Change Data Capture), and data validation processes.
• Collaborate with data analysts, business stakeholders, and development teams to understand data requirements.
• Design data models and support data warehousing solutions.
• Implement security, governance, and access controls for cloud data platforms.
• Create technical documentation and maintain data architecture standards.
• Support migration of on-premises data solutions to Azure cloud environments.

Required Qualifications

• Experience designing, developing, and maintaining scalable data integration and data storage solutions using Microsoft Azure services.
• Expertise in Azure Data Factory.
• Expertise in Azure Data Lake Storage.
• Experience with ETL/ELT processes.
• Experience with data warehousing.
• Experience with cloud-based analytics platforms.
• Experience implementing data transformation processes using Mapping Data Flows, SQL, and Spark technologies.
• Experience configuring incremental data loads, CDC (Change Data Capture), and data validation processes.
• Experience designing data models and supporting data warehousing solutions.
• Knowledge of security, governance, and access controls for cloud data platforms.
• Experience supporting migration of on-premises data solutions to Azure cloud environments.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

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