As a Customer Data Platform (CDP) Engineer , you will play a key role in building and optimizing customer data ecosystems that power personalization, analytics, and marketing initiatives.
Key Responsibilities:
- Design, build, and maintain scalable ELT/data pipelines for customer data ingestion, transformation, and processing.
- Drive customer data unification and identity resolution to create accurate 360° customer profiles.
- Develop and enhance customer segmentation models to enable targeted marketing and personalized customer experiences.
- Architect and optimize real-time and batch data processing systems for performance, scalability, and reliability.
- Ensure high standards of data quality, governance, and consistency across platforms.
- Collaborate with cross-functional teams including Marketing, Analytics, and Data Science to deliver data-driven solutions.
- Manage and optimize data platforms using technologies such as Presto, Hive, Digdag, Embulk, and SQL .
- Continuously improve platform efficiency through automation, performance tuning, and adoption of modern data engineering practices.
What You Bring
- Bachelor's degree in computer science , Engineering, Data Science, or (master's degree ).
- 4+ years of experience in data engineering, with a focus on customer data platforms (CDP Treasure Data), data integration, and ELT/ETL processes.
- Expertise in data unification, identity resolution, and customer profile management.
- Treasure Data CDP certification preferred
- Familiarity with marketing tech stack & Experience with Treasure Data or similar CDP platforms good to have
- Proficiency in tools and technologies like Python, Presto, Hive, SQL, Digdag, Embulk, and Data Warehousing (DW).
- Strong understanding of data flow management, data pipelines, and data storage systems, with experience in both real-time and batch processing.
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