Data Engineer

About the role

This role bridges the gap between core data engineering and practical machine learning applications. Primarily, you will be a data platform engineer responsible for owning core data pipelines, data models, and quality controls that power client analytics and future data products. Secondarily, you will drive the production lifecycle of our shopping cart computer-vision feature.

What you'll do

• Data Platform, Pipelines, & Quality (Primary Focus)
• Applied ML Ownership - Smart Exit Cart-Empty Classifier (Secondary Focus)
• Drive the production lifecycle of our shopping cart computer-vision feature
• Collaborate with BI Analysts, software engineers, and product teams to transform raw data into actionable insights

What you need

• 5–9 years in data science & ai
• SQL
• ETL
• Python
• Machine learning
• Airflow
• Spark
• B.Tech or B.E. or B.Sc or BCA

Good to have

• MLOps
• Kafka
• Databricks
• GCP
• Azure
• Computer vision