Azure Data Engineer

Role Summary

We are seeking an experienced Azure Data Engineer to support Procurement modernization initiatives that enable secure and reliable data exchange across multiple Procurement applications. The successful candidate will design and develop scalable cloud-based data solutions using Azure Data Factory, Azure Data Lake, Azure Functions, Terraform, SQL, and Python. The role requires strong data engineering and data modeling experience, along with the ability to collaborate effectively with developers, analysts, and business stakeholders.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using Azure cloud services.
• Build and support data integration solutions using Azure Data Factory, Azure Data Lake, Azure SQL, Azure Functions, and Terraform.
• Develop robust data models that support integration and reporting requirements across Procurement applications.
• Collaborate with developers, analysts, and business stakeholders to understand requirements and translate them into reliable and efficient data solutions.
• Optimize data processing and storage solutions for performance, scalability, reliability, and cost efficiency.
• Implement data security and compliance controls in alignment with organizational standards, industry best practices, and applicable regulatory requirements.
• Troubleshoot data pipeline issues and support the timely resolution of production incidents.
• Develop and maintain technical documentation covering data architecture, integration processes, data models, and engineering standards.
• Contribute to code reviews, testing, deployment, and continuous improvement of engineering practices.

Required Skills

• 5 to 7 years of relevant technology experience, including at least 5 years of data engineering experience.
• 5 years of hands-on experience with Azure Data Factory.
• 5 years of experience in data engineering and data modeling.
• 5 years of hands-on experience with Terraform.
• 5 years of strong SQL experience.
• 3 years of experience with Azure Functions.
• 2 years of Python experience.
• Experience working with Azure Data Lake, Azure Storage, and Azure SQL.
• Experience designing and supporting scalable ETL and data integration solutions.
• Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, Information Technology, or a related field.
• Experience with Azure Databricks.
• Working knowledge of React.
• Familiarity with CI/CD and automated deployment practices.
• Experience supporting cloud-based data platforms in an enterprise environment.
• Exposure to Procurement systems or Procurement data integrations.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.