Feature Implementation: Develop and implement features for data ingestion, processing, governance, observability and storage systems based on technical specifications and guidance from senior engineers
Real-time Data Pipeline Contribution: Build components for highly scalable, accurate, and real-time event collection systems under the guidance of senior team members
Data Pipeline Development: Implement data pipelines to support AI model training and autonomous AI Agents, ensuring data quality and reliability
Code Quality: Write clean, maintainable, and well-tested code following established engineering standards and best practices
System Maintenance: Contribute to improving existing systems and services using modern tooling and engineering practices
Performance Optimization: Help identify and implement optimizations for ingestion, storage, and processing components
