Teams at Photon

Design, build, optimize, and maintain high-performance Spark-based data pipelines using Scala/Java and Hive on Hadoop/CDP. Own full project lifecycle, enforce coding best practices, troubleshoot Spark/Hive/YARN performance, and collaborate with stakeholders to deliver scalable data solutions.

Designs, develops, tests, and maintains scalable ETL pipelines using Azure services and streaming technologies. Collaborates with architects, analysts, scientists, and business stakeholders to ensure data accuracy and integrity. Builds data models and documentation, optimizes workflows, monitors production data flows, troubleshoots issues, implements data-quality controls, and integrates cloud and on-premise storage while supporting governance, security, and privacy standards.

Designs, develops, tests, deploys, and maintains scalable Java microservices and distributed systems in cloud environments. The role contributes to architecture and technical strategy, implements monitoring and CI practices, troubleshoots complex issues, and supports software roadmaps. It also documents current and future-state processes, collaborates with cross-functional teams, estimates delivery work, and mentors junior engineers.