Data Engineer – Hybrid/Platform Support
Core
Designing and maintaining data pipelines, optimizing BigQuery performance, and developing Python web application components and APIs to support data integration and visualization.
Role type
Data Engineer with full-stack Python development responsibilities
Builds
Data pipelines, web application components, APIs, and optimized data models
Domain
Financial services, Cloud infrastructure (GCP)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Google Cloud Platform (GCP), Django, BigQuery, CI/CD, Git, Datadog, PagerDuty
Preferred skills
Machine Learning concepts, Docker, Kubernetes, incident response automation
Technologies
Google Cloud Platform, BigQuery, Django, Datadog, PagerDuty, Git, Docker, Kubernetes
Responsibilities
Design and maintain data integrations from source systems to GCP; Develop web application components and APIs using Python; Optimize query performance in BigQuery for ETL/ELT processes; Collaborate with teams to translate data requirements into data models; Monitor GCP infrastructure health and performance; Troubleshoot alerts and incidents to ensure data integrity; Participate in CI/CD pipelines for data pipeline deployments
Seniority
Mid-level, hands-on IC
