AI-Driven Data Engineering Expert

2 days ago

bangalore, India beBeeDataEngineer Full time

Senior Data EngineerThe ideal candidate will be responsible for building and maintaining the data infrastructure that powers our platform.About the RoleDesign and architect scalable data systems that connect advertising, analytics, and eCommerce dataOwn end-to-end data engineering solutions using Airflow, Python, and GCP servicesExtend and optimize existing data infrastructure while building custom pipelines where neededPlan and execute future pipeline modernization to improve scalability, reliability, and maintainability of existing systemsKey ResponsibilitiesBuild orchestration layers that manage data flows across the eCommerce ecosystemMaintain context for intelligent summarization and action by designing data models and systems that preserve business contextWork with a cross-functional team to build reliable data pipelines that power real business outcomesRequirements5–8 years of experience building production data pipelinesStrong coding skills in Python with expert-level SQLExperience with workflow orchestration using Airflow or similar toolsHands-on experience with GCP (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.)Understanding of data modeling for analytics and ML use casesNice to HaveExperience with eCommerce platforms and their data modelsKnowledge of adtech/martech ecosystems—tracking pixels, attribution, ad platform APIsExperience with stream processing technologies (Kafka, Pub/Sub, Dataflow)Why This Role?You'll build critical infrastructure that powers revenue-generating insights for high-growth DTC brands. You'll work on interesting orchestration challenges connecting advertising, analytics, and eCommerce data. You'll have autonomy to shape technical direction while working with a supportive team. You'll join a sharp, no-fluff team with direct customer access, clear velocity, and SF-based backing.

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