• Design, build, and operate scalable, production-grade data pipelines and curated datasets powering ads optimization and ML systems. • Own end-to-end offline data flows from raw event ingestion to feature-ready datasets ensuring correctness, reproducibility, and SLA compliance. • Develop and maintain large-scale batch and streaming workflows (Python / Java / SQL) with strong focus on performance, cost-efficiency, and reliability. • Contribute to our Feature Store platform, including collaboration with the high-throughput online serving layer (Go-based services). • Translate complex product and monetization logic into durable, extensible data models serving analytics and machine learning use cases. • Improve observability, validation frameworks, and data quality standards across pipelines. • Drive architectural decisions and engineering best practices within the Feature Platform team.