Senior Data Engineer

Strong hands-on experience with Python, SQL, and PySpark. Strong understanding of unit testing, test automation, debugging, and code quality best practices. Good understanding of data engineering fundamentals and advanced concepts. Experience building scalable and fault-tolerant data pipelines. Strong knowledge of CI/CD, automated testing, and production deployments. Understanding of Medallion Architecture, data modeling, data quality, and governance. Awareness of cloud infrastructure, security, Infrastructure as Code, and monitoring. Strong problem-solving, communication, and collaboration skills. Ability to understand and confidently explain code, design decisions, and project architecture. Collaborate through code reviews, peer reviews, pair programming, knowledge sharing, and Agile best practices.