Senior Data Engineer

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Description

Responsibilities • Design, develop, and maintain scalable ETL / ELT pipelines • Build and optimize data workflows on Databricks and Azure Cloud • Develop high-performance SQL transformations and data models • Work with large-scale structured and semi-structured datasets • Improve data quality, reliability, and pipeline performance • Support migration and modernization of enterprise data platforms • Collaborate with stakeholders to understand business and technical requirements • Troubleshoot production issues and optimize existing data processes • Participate in architecture and technical solution discussions • Mentor junior engineers and share best practices with the team Qualifications • At least 5 years of experience in Data Engineering or related roles • Strong expertise in SQL and ETL development • Hands-on experience with Azure Cloud and Databricks • Experience working with enterprise-scale data platforms • Strong understanding of Data Warehouse and Data Lake concepts • Experience with PySpark / Spark is highly preferred • Familiarity with cloud-based data architecture and optimization • Experience in performance tuning and troubleshooting ETL jobs • Understanding of CI/CD and version control (Git) • Good problem-solving and analytical skills • Able to work independently and communicate effectively with teams

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