Job Title : Data Engineer

Job Description: @Team, Data Engineer -2 with Treasure CDP (without Treasure CDP in cv i wont consider cvs) 3-6 yrs 22 LPA Immediate - 15 days (serving NP) Location : Gurgaon Proven expertise in SQL, Python, and data engineering tools (Presto, Dig-Dag, workflow managers) related to Treasure Data CDP. Hands-on experience in data modeling, schema management, and performance optimization in a cloud-native or distributed data platform environment. Familiarity with martech and adtech stack automation, data integration frameworks, and customer-centric data practices. Typically 3-6 years’ experience in data engineering or analytics, with specific project exposure to customer data platform technologies.Design, implement, and optimize scalable data pipelines for ingesting and processing large volumes of customer data into Treasure Data CDP, ensuring efficient data flow and system performance.Develop, schedule, and monitor ETL (Extract, Transform, Load) jobs to manage data movement, transformation, and quality checks across multiple sources including web, mobile, CRM, and e-commerce platforms. Construct 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, external systems using APIs, webhooks, SDKs, and custom connectors

Location: Gurugram