Data Engineer (Digital Shelf Team)
Core
Build and maintain data pipelines, ETL workflows, and reporting systems to support daily operations, data quality, and client deliverables for the Digital Shelf Team.
Role type
Mid-level data engineer (ETL & data operations)
Builds
Scheduled ETL/data processing pipelines, data quality checks, and reporting workflows
Domain
Retail/Digital Shelf + Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, ETL concepts, data pipeline management, data quality management, cloud data storage familiarity
Preferred skills
Orchestration tools (e.g., Airflow), anomaly detection, cross-functional collaboration
Technologies
Python, SQL, Airflow, AWS S3
Responsibilities
Maintain existing data pipelines and reporting workflows; Implement and monitor data quality checks and anomaly detection; Build scheduled ETL/data processing pipelines; Clean, transform, and manage data from multiple sources; Collaborate with cross-functional teams on data requirements; Contribute to documentation and standardization of data processes
Seniority
Mid-level, hands-on IC
