Description

You will design and build a modern data platform on GCP to support marketing use cases and customer journey analytics.

Responsibilities

• Design data models optimized for customer journey analytics and privacy compliance via clean room technology.
• Enable real-time data ingestion and streaming using Kafka or similar technologies.
• Build repeatable data pipeline frameworks using BigQuery, Dataflow, and Composer.
• Develop Python scripts to automate data transformation and ingestion processes.

Required Skills

• 10+ years of experience in data architecture or data engineering.
• Expert-level proficiency with GCP services including BigQuery, Dataflow, and Composer.
• Advanced Python and SQL programming skills.
• Hands-on experience with clean rooms and identity resolution.
• Practical knowledge of real-time streaming and predictive modeling.
• Experience with ETL tools such as Informatica or Talend.
• Deep understanding of retail media and campaign KPIs.
• Degree in any field (Any Graduate).

Key Skills

Education

Any Graduate