Description
The Senior Data Engineer will design, develop, and manage scalable data platforms, pipelines, ETL/ELT processes, data warehouses, data lakes, and lakehouse architectures. The role supports analytics, business intelligence, AI/ML, real-time and batch processing, data governance, security, performance optimization, CI/CD, architecture reviews, and mentorship. It requires 8–12 years of overall IT experience, including at least 5 years in data engineering, strong SQL and Python expertise, cloud platform experience, and experience with large-scale datasets and Agile delivery.
