CDP Python Developer

Americana Restaurants; Mohali; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Americana Restaurants seeks a data engineer to manage and optimize customer data platforms, focusing on Treasure Data CDP integration, identity resolution, and data governance. You will collaborate across marketing and tech teams to ensure accurate customer profiles and actionable analytics.

Required are 5+ years in data engineering, proficiency with Python/SQL, and experience with CDP platforms; certification is a plus.

Qualifications

• Bachelor's degree in computer science, Engineering, Data Science, or master's degree.
• 5+ years of experience in data engineering, with a focus on customer data platforms (CDP Treasure Data)
• Expertise in RT2, Governance, 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
• Experience with Google Tag Manager, web/app tracking, and digital analytics.
• 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.

Responsibilities

Skills

Treasure Data CDP

Marketing tech stack

Google Tag Manager

Education

Bachelor's degree in computer science

Master's degree in related field

Tools

Python

Presto

Hive

SQL

Digdag

Embulk

Data Warehousing

Job description

• Bachelor's degree in computer science, Engineering, Data Science, or (master's degree ).
• 5+ years of experience in data engineering, with a focus on customer data platforms (CDP Treasure Data)
• Expertise in RT2, Governance, 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
• Experience with Google Tag Manager, web/app tracking, and digital analytics.
• 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.