Data Engineer II, Operations - Quick Commerce
Core
Design, build, and maintain scalable data features and workflows to optimize the supply chain process and vendor experience for millions of daily customers.
Role type
Data Engineer II (Operations)
Builds
Scalable data features, workflows, and CI/CD pipelines for ML models
Domain
Quick Commerce / Supply Chain Operations
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Docker, Kubernetes, Postgres, Cloud platforms (AWS/GCP), Orchestration tools (Airflow/Kubeflow/MLflow), Scalable system architecture
Preferred skills
Monitoring and observability tools (Grafana/Datadog/Splunk), Infrastructure as code (Terraform/Drone CI/GitHub Actions)
Technologies
Python, Docker, Kubernetes, Postgres, AWS, GCP, Airflow, Kubeflow, MLflow, Grafana, Datadog, Splunk, Terraform, Drone CI, GitHub Actions
Responsibilities
Develop features that bring value to users, maintain data pipelines, evolve overall architecture and engineering practices, collaborate on ML model lifecycle optimization, develop and maintain CI/CD pipelines for ML models
Seniority
Mid-level, hands-on IC
