Jobs → Data & Analytics → Python Azure Data Engineer

About the Role We are looking for an experienced Python Azure Data Engineer to build scalable, secure, and production-ready data solutions using Python, Azure, Databricks, and Apache Spark. Key Responsibilities • Design and optimize scalable data pipelines • Develop high-performance ETL/ELT solutions • Optimize Spark jobs and Databricks workloads • Implement CI/CD automation and production deployments • Ensure data security, governance, and compliance • Collaborate with cross-functional teams in an Agile environment Requirements • 7+ years of hands-on Python, SQL, and ETL/ELT experience • Strong experience with Azure Cloud, Databricks, and Apache Spark • Expertise in PySpark, data pipelines, and large-scale data processing • Experience with Azure Machine Learning (Azure ML) • CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or similar tools • Production monitoring, logging, alerting, and troubleshooting • Data governance, security, access control, and data lineage • Experience deploying solutions across Dev, QA, and Production environments