Senior Data Engineer

Job description

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.