Senior Software Engineer, Data Engineering

As a Senior Software Engineer, Data Engineering, you will be responsible for designing, building, and deploying robust, scalable, and high-performing data engineering solutions that power Teradata's cutting-edge data and analytics platforms. You will work closely with cross-functional teams to understand business requirements, identify opportunities for innovation, and deliver transformative solutions that drive business value. Key Responsibilities: - Design and develop highly scalable and fault-tolerant data ingestion, processing, and storage solutions using big data technologies such as Apache Spark, Hadoop, and Kafka. - Implement efficient data pipelines and data transformation workflows to ensure reliable and timely data delivery. - Collaborate with product managers, data scientists, and domain experts to understand business needs and translate them into technical requirements. - Optimize data processing workflows for performance, reliability, and cost-effectiveness. - Contribute to the design and implementation of data architectures and data models that support complex analytical use cases. - Participate in code reviews, design discussions, and knowledge-sharing sessions to drive continuous improvement and technical excellence. - Mentor and guide junior engineers, fostering a culture of learning and innovation.

Teradata is a leading provider of enterprise-scale data and analytics solutions. Our products and services help organizations unlock the value of data through powerful data platforms, advanced analytics, and business applications. As a global company, we serve customers across a wide range of industries, including finance, healthcare, retail, telecommunications, and more. Our focus on innovation, customer success, and ethical business practices has made us a trusted partner for organizations around the world.