Feature Implementation: Develop data ingestion, processing, governance, observability, and storage features based on specifications and guidance from senior engineers.
Real-time Data Pipeline Contribution: Build components for scalable, accurate, and real-time event collection systems.
Data Pipeline Development: Support AI/ML pipelines, including feature engineering and model training infrastructure.
Code Quality & Maintenance: Write clean, maintainable, and well-tested code; optimize and improve existing systems.
Performance Optimization: Identify and implement improvements for ingestion, storage, and processing components.
