Staff Data Engineer (PySpark)

5+ years of software development and data engineering experience with demonstrated ownership of production grade data infrastructure Bachelor's degree in Computer Science or a related field, or equivalent practical experience Deep expertise scaling Spark in production (Databricks, EMR, etc) Strong understanding of distributed computing and modern data modeling for scalable systems Proficient in Python with experience implementing software engineering best practices Hands-on experience with both relational (MySQL / PostgreSQL) and NoSQL (MongoDB, DynamoDB, Cassandra) databases Strong communicator with experience influencing cross functional stakeholders

Design and evolve scalable, distributed data infrastructure across cloud platforms Build and maintain real time and batch data processing pipelines supporting analytics and AI/ML workloads Develop and manage integrations with third party e-commerce platforms Ensure data availability, reliability and quality through monitoring and automated auditing Partner with engineering, AI and product teams on data solutions Mentor and support data engineers, establishing best practices and code quality standards