Azure Data Engineer

A leading enterprise organization is seeking an Azure Data Engineer to support the development and expansion of a modern cloud-based data platform. This role will focus on designing, building, and optimizing scalable data pipelines that support enterprise analytics, operational reporting, and data integration initiatives.

The ideal candidate is a hands-on data engineer who enjoys solving complex data challenges, working with modern cloud technologies, and collaborating with business and technical stakeholders to deliver reliable and scalable data solutions.

What You'll Tackle:

• Design, develop, and maintain scalable data pipelines using Azure-based technologies.
• Build and support ingestion frameworks for internal and external data sources.
• Develop and optimize batch and near real-time data processing workflows.
• Implement and maintain data lake and lakehouse architectures.
• Collaborate with business, engineering, architecture, and data teams to support enterprise data initiatives.
• Ensure data quality, integrity, and reliability across data pipelines and platforms.
• Optimize performance of large-scale data processing workloads.
• Support data integration, transformation, and orchestration activities.
• Participate in Agile development processes, sprint planning, and delivery cycles.
• Contribute to platform modernization and cloud transformation initiatives.
• Develop technical documentation, standards, and operational procedures.

What You Bring:

• 3–5 years of experience in data engineering, data integration, or related disciplines.
• Strong expertise in Python, PySpark, and SQL.
• Hands-on experience with Azure Databricks.
• Experience with Azure cloud services and modern data platforms.
• Experience developing data ingestion pipelines using APIs and external data sources.
• Strong understanding of data modeling, transformation, and pipeline optimization.
• Experience working with relational and/or NoSQL databases.
• Experience developing APIs using Python frameworks such as FastAPI or similar technologies.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder collaboration abilities.

Nice to Have:

• Experience supporting enterprise-scale data lake or lakehouse platforms.
• Familiarity with Azure Synapse, Microsoft Fabric, or comparable analytics platforms.
• Experience working with large-scale cloud data environments.
• Exposure to governance, security, or compliance-related data initiatives.
• Azure certifications or related cloud credentials.

What Success Looks Like:

• Reliable delivery of scalable, high-performance data pipelines.
• Strong data quality, integrity, and operational stability.
• Successful collaboration across business and technical teams.
• Continuous improvement of cloud data platform capabilities.
• Contribution to enterprise modernization and data transformation initiatives.
• Delivery of efficient, well-documented, and maintainable data solutions.