We're hiring an Azure Data Engineer to design, develop, and maintain scalable data solutions on Azure. The role requires a hands-on professional with solid experience in Python, Azure data services, ETL processes, and cloud data infrastructure. You'll work closely with data scientists, analysts, and engineering teams to enable data-driven decisions through robust and secure pipelines.

Key Responsibilities :

- Build and maintain ETL pipelines using Azure Data Factory and Azure Databricks

- Manage data integration and transformation using Azure Data Lake, Azure SQL Database, and Blob Storage

- Develop production-grade code using Python with libraries such as Pandas and PySpark

- Write and optimize complex SQL queries for large-scale datasets

- Collaborate with cross-functional teams to deliver end-to-end data solutions

- Troubleshoot pipeline issues, ensure data quality, and support operational workflows

- Support and enable data scientists and analysts with clean and timely data

- Participate in Agile ceremonies and contribute to continuous improvement

Technical Requirements :

- 6 - 12 years of experience as a Data Engineer or related role

- Strong expertise with Azure Data Services - Data Factory, Databricks, Data Lake, Blob Storage, and Azure SQL

- Proficiency in Python programming and data manipulation libraries like Pandas, PySpark

- Strong working knowledge of SQL for data querying and transformations

- Solid understanding of ETL design patterns and data warehousing principles

- Exposure to Azure DevOps (CI/CD, Git) for managing code and pipelines

- Good to have : knowledge of cloud security, big data tools (e.g., Apache Spark), and data science workflows

Other Requirements :

- Excellent problem-solving and analytical skills

- Strong communication and collaboration abilities for cross-functional teamwork

- Passion for learning new technologies and working on high-impact data initiatives

- Azure Data Engineer certification is a plus