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 contemporary 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 preferredFamiliarity with marketing tech stack & Experience with Treasure Data or similar CDP platforms good to haveProficiency 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.

📌 Data Engineer (Mumbai)
🏢 Americana Restaurants
📍 Mumbai