Sr. Azure Data Engineer

Job Overview:We are urgently looking for a highly skilled and experienced Senior Azure Data Engineer to join our team. The ideal candidate must have a solid background in Azure Data Factory (ADF), Databricks, PySpark, and strong hands-on experience with modern data tools and platforms. This is a client-facing role requiring excellent communication skills, flexibility, and strong problem-solving capabilities. Key Responsibilities: Design, build, and maintain scalable data pipelines and ETL processes using Azure Data Factory and Databricks Develop and optimize PySpark jobs for large-scale data processing Integrate various data sources into a unified data lake/warehouse environment Implement data governance practices using Unity Catalog and manage metadata effectively Work closely with stakeholders to understand business requirements and translate them into technical solutions Monitor, troubleshoot, and improve existing data workflows and performance Collaborate with BI developers to support Power BI reporting and dashboards Utilize Azure DevOps (ADO) for CI/CD pipelines and version control Must-Have Skills: Azure Data Factory (ADF) Advanced knowledge Azure Platform End-to-end data engineering experience Databricks & PySpark Strong development experience SQL Excellent query optimization and data manipulation skills Azure DevOps (ADO) Familiar with CI/CD practices Power BI Ability to support data modeling and integration Unity Catalog Hands-on experience in metadata and data governance Excellent Communication Skills Verbal and written, must be client-facing ready Preferred Qualifications: Azure Data Engineer or Azure Architect Certification Previous experience in Agile environments Exposure to data security and compliance practices in Azure Strong problem-solving and analytical thinking Job Overview:We are urgently looking for a highly skilled and experienced Senior Azure Data Engineer to join our team. The ideal candidate must have a solid background in Azure Data Factory (ADF), Databricks, PySpark, and strong hands-on experience with modern data tools and platforms. This is a client-facing role requiring excellent communication skills, flexibility, and strong problem-solving capabilities. Key Responsibilities: Design, build, and maintain scalable data pipelines and ETL processes using Azure Data Factory and Databricks Develop and optimize PySpark jobs for large-scale data processing Integrate various data sources into a unified data lake/warehouse environment Implement data governance practices using Unity Catalog and manage metadata effectively Work closely with stakeholders to understand business requirements and translate them into technical solutions Monitor, troubleshoot, and improve existing data workflows and performance Collaborate with BI developers to support Power BI reporting and dashboards Utilize Azure DevOps (ADO) for CI/CD pipelines and version control Must-Have Skills: Azure Data Factory (ADF) Advanced knowledge Azure Platform End-to-end data engineering experience Databricks & PySpark Strong development experience SQL Excellent query optimization and data manipulation skills Azure DevOps (ADO) Familiar with CI/CD practices Power BI Ability to support data modeling and integration Unity Catalog Hands-on experience in metadata and data governance Excellent Communication Skills Verbal and written, must be client-facing ready Preferred Qualifications: Azure Data Engineer or Azure Architect Certification Previous experience in Agile environments Exposure to data security and compliance practices in Azure Strong problem-solving and analytical thinking