Senior Data Engineer

Job Title: Azure Data Engineer Location: Pune Experience: 6-10 Years About Globant At Globant, we create digitally native products that help organizations reinvent themselves. We combine innovation, design, and engineering to build scalable, high-impact digital solutions for leading global enterprises. Job Summary We are looking for a strong Azure Data Engineer with excellent Python development skills to design, build, and optimize modern data platforms on Microsoft Azure. The ideal candidate should have hands-on experience with Azure data services, Python, Spark, SQL, and building scalable ETL/ELT pipelines. Key Responsibilities Design, develop, and maintain scalable data pipelines using Azure data services. Develop robust ETL/ELT workflows using Azure Data Factory (ADF) . Build and optimize data processing solutions using Azure Databricks (ADB) and Apache Spark . Work with Azure Data Lake (ADL) for data storage and management. Develop reusable data engineering solutions using Python . Write efficient and optimized SQL queries, stored procedures, and performance tuning. Collaborate with architects, business analysts, and cross-functional teams to deliver end-to-end data solutions. Ensure data quality, governance, security, and performance best practices. Troubleshoot production issues and optimize existing data pipelines. Required Skills Strong hands-on experience in Python programming. Experience with Azure Data Factory (ADF) . Experience working with Azure Data Lake (ADL) . Hands-on experience in Azure Databricks (ADB) . Strong knowledge of Apache Spark / PySpark . Excellent SQL development and query optimization skills. Experience building enterprise-scale ETL/ELT pipelines. Good understanding of data warehousing concepts and dimensional modeling. Experience with Git and CI/CD processes. Strong analytical, debugging, and problem-solving skills.