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.