Proven expertise in SQL, Python, and data engineering tools (Presto, Dig-Dag, workflow managers) within Treasure Data CDP .
Hands-on experience in data modeling, schema management, and performance optimization in cloud-native or distributed data environments.
Familiarity with MarTech and AdTech automation , data integration frameworks, and customer-centric data practices.
3–6 years of experience in data engineering or analytics, with project exposure to Customer Data Platform (CDP) technologies
Key Responsibilities
Design, implement, and optimize scalable data pipelines for ingesting and processing large volumes of customer data into Treasure Data CDP , ensuring efficiency and performance.
Develop, schedule, and monitor ETL jobs to manage data movement, transformation, and quality checks across multiple data sources including web, mobile, CRM, and e-commerce platforms .
Build and manage data models, workflows, and schema alignment within Treasure Data Workbench for identity resolution, audience segmentation, and activation use cases .
Integrate Treasure Data CDP with marketing automation tools and external systems via APIs, webhooks, SDKs, and custom connectors .