Posted:8 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Key Responsibilities

  • 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

    .

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