Description

You will build and optimize data pipelines supporting retail media campaigns and customer journey analytics.

Responsibilities

• Build and maintain data pipelines using GCP tools including BigQuery, Dataflow, and Composer.
• Develop Python scripts for data transformation and ingestion.
• Support real-time data streaming and campaign analytics.
• Integrate with clean room environments to ensure privacy compliance.
• Lead design and POC for migration planning from GCP to Databricks.

Required Skills

• 10+ years of experience in data engineering.
• Proficiency in Python and SQL.
• Expertise with GCP tools: BigQuery, Dataflow, and Composer.
• Experience with clean rooms (Google, Databricks).
• Familiarity with Kafka or similar streaming tools.
• Experience with ETL tools such as Informatica or Talend.
• Experience with API integrations, such as Facebook/Meta.
• Strong understanding of retail media and campaign KPIs.
• Ability to build data models like slowly changing dimensions.

Preferred Skills

• Experience with Databricks and Data/ML pipelines.

Key Skills

Education

Any Graduate