Google Cloud Platform Data Engineer

Summary: The Google Cloud Platform Data Engineer role is a fully remote position focused on building and maintaining data pipelines using Google Cloud tools. The ideal candidate will have extensive experience in data engineering, particularly with Google Cloud Platform, and will be responsible for developing data transformation scripts and supporting real-time data analytics. Collaboration with users to deliver validated datasets and ensuring privacy compliance in clean room environments are key aspects of the role. This position requires a strong understanding of retail media and campaign KPIs, along with expertise in ETL tools and API integrations.

Key Responsibilities:

• Build and maintain data pipelines using Google Cloud Platform (BigQuery, Dataflow, Composer)
• Develop Python scripts for data transformation and ingestion
• Support real-time data streaming and campaign analytics
• Collaborate with users to deliver clean, validated datasets
• Integrate with clean room environments and ensure privacy compliance
• Build data models (e.g., slowly changing dimensions) for campaign and customer journey analytics
• Google Cloud Platform to Databricks Connecting to Databricks for ML Use cases (Hosted in Google Cloud Platform)
• Enable real-time data ingestion and streaming (Kafka or similar)

Key Skills:

• 8 years in data engineering with strong current experience in Google Cloud Platform and related data tools
• Proficient in Python, SQL, and Google Cloud Platform tools (BigQuery, Dataflow, Composer)
• Experience with clean rooms (Google, Databricks)
• Familiarity with Kafka or similar streaming tools
• Strong understanding of retail media and campaign KPIs
• Expertise in ETL tools like Informatica or Talend
• API integrations experience (e.g., Facebook/Meta or similar engineering experience)
• Bonus: Experience with Databricks and Data/ML pipelines

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT