Senior Data Engineer

About this role

📋 Description Design and build a scalable customer data mart that consolidates loyalty attributes, wishlist and Set up real-time data streaming between backend systems, the CDP (Zeotap) and the CEP (Responsys). Build and maintain robust backend APIs that give product teams access to customer data for Model and transform data in BigQuery and Dataform, and orchestrate pipelines with Cloud Workflows Manage infrastructure as code with Terraform and ship through CI/CD pipelines in GitHub Actions.

🎯 Requirements Expert Python and SQL skills in production data engineering. Hands-on experience with GCP data services, in particular BigQuery, Pub/Sub, Cloud Run and Cloud Experience with Dataform, Datastore, Cloud Workflows, Eventarc and Cloud Scheduler. Experience building real-time or event-driven data pipelines. Experience designing data models and data marts for analytical and operational use. Experience building REST APIs in Python, ideally with Flask.

🎁 Benefits Physical Wellbeing: medical benefits, gym support, personalised fitness options, team events Work-Life Fusion: one-size-fits-one approach for work-life dynamic. Emotional Wellbeing: investment in mental wellbeing. Social Wellbeing: hybrid environment with connections through passions and interests.

Source listing: empllo_remote