JOB TITLE:

Azure Data Engineer

Summary

We are seeking a highly skilled Azure Data Engineer to design, build, and optimize scalable data solutions within a modern cloud ecosystem. This role focuses on developing robust data pipelines and enabling data-driven decision-making through reliable, high-quality data platforms.

Responsibilities

• Design, develop, and maintain end-to-end data pipelines and ETL processes using Azure services

• Build and manage data solutions leveraging Azure Data Factory, Synapse, Databricks, and Fabric

• Architect and maintain data storage solutions (e.g., Azure Data Lake Storage Gen2, Blob Storage)

• Collaborate with cross-functional teams (Data Scientists, Analysts, Architects) to translate business requirements into scalable data solutions

• Optimize pipelines for performance, scalability, and cost-efficiency

• Implement data quality frameworks, validation processes, and monitoring mechanisms

• Manage CI/CD pipelines for data engineering workflows

• Troubleshoot and resolve pipeline and data-related issues

• Maintain comprehensive technical documentation and best practices

Qualifications

• Strong proficiency in Azure data services (ADF, Synapse, Databricks, Fabric)

• Solid experience in ETL/ELT pipeline development

• Expertise in data modeling and distributed data systems

• Proficiency in SQL and at least one programming language (e.g., Python, Scala)

• Experience with big data processing frameworks

• Familiarity with CI/CD and DevOps practices

• Strong understanding of data governance, quality, and security principles

• Excellent problem-solving and stakeholder collaboration skills