Senior Full Stack Data Engineer - No C2C

? Design, build, and maintain scalable data platforms, distributed systems, and enterprise integration solutions across on-premises and cloud environments.

? Develop and optimize data-intensive applications using Databricks, Spark, and related platforms to efficiently process, transform, and serve data.

? Build features supporting enterprise data onboarding, exchange, discovery, and consumption.

? Contribute to architecture and system design while collaborating with cross-functional teams to deliver scalable, high-quality solutions aligned with engineering best practices.

? Write clean, maintainable, and efficient code using strong practices in testing, code reviews, and continuous improvement.

? Identify and resolve performance bottlenecks across services, APIs, data-processing workloads, and user experience.

? Collaborate with Product, Engineering, Data Governance, Security, and business stakeholders to understand and deliver requirements.

? Mentor and support team members while contributing to a collaborative, growth-oriented engineering culture.

? Continuously learn and improve, stay current with technologies, and drive enhancements in quality, scalability, and developer productivity.