Senior Data Engineer

ResponsibilitiesInitiate, plan, and take full ownership of data engineering projects and pipeline deliverables, from design through production, with minimal supervision.Design, build, and optimize high-volume ETL/ELT pipelines across marketplace listings, user behavior, and transaction data. Leverage AI coding tools (such as Claude Code) as an extended productivity assistant for boilerplate logic and DAG scaffolding, while taking full engineering ownership of pipeline accuracy, cost, and reliabilityEvaluate and pilot AI-assisted patterns and natural language interfaces to build internal tools, platform automations, and operational workflows—sharing practical findings to elevate technical leverage and execution speed across the team.Own the design of data warehouse and datamart structures, including performing basic DBA operations on our cloud data warehouse.Build and maintain streaming/real-time data pipelines to support event-based and low-latency use cases.Lead the architecture and delivery of components of our data warehouse migration, including data model restructuring, security, and governance.Partner with Data Scientists and Analysts to enable personalization, pricing intelligence, fraud detection, and other ML-driven initiatives.Diagnose and resolve complex pipeline failures and performance issues, and proactively identify opportunities to improve reliability across our data platformDefine and document data processes, schemas, and workflow automation standards for the team.Champion data security and governance best practices across the pipelines and systems you own.Mentor and support the technical growth of junior and mid-level data engineers, including code review and knowledge sharing.Communicate technical designs, trade-offs, and project status clearly to both technical and non-technical stakeholders.