Role: Data Engineer
Location: Remote
Duration: 12 Months
Job description:
* 6+ years of industry experience in cloud engineering, data engineering, or platform engineering
* Hands-on experience with Google Cloud Platform services (BigQuery, Composer/Airflow, Dataproc, Cloud Storage)
* Experience building and deploying backend APis and cloud-native services
* Solid expertise with containerization and orchestration (Docker, Kubernetes, GKE)
* Proficiency in Python for data processing, orchestration, or backend services
* Strong SQL skills, particularly with BigQuery or similar cloud data warehouses
* Experience with Vertex Al (pipelines, model deployment, batch/online inference, or GenAl integration)
* Experience building and operating data pipelifes and ETL/ELT workflows in a production environment
* Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins), including automated testing and environment promotion
* Understanding of infrastructure-as-code, cloud reliability, and production incident response
* Experience enabling adoption of GenAl capabilities with production-ready deployment and governance patterns
* Self-directed problem solver willing to read documentation, research solutions, and reach out across teams to drive results
* Strong communication skills, including the ability to explain technical concepts to non-technical stakeholders
Preferred skills:
* Practical MLOps experience, including model serving, monitoring, and retraining workflows
* Experience with distributed data processing frameworks such as Apache Spark or Apache Beam (Dataproc, Dataflow)
* Experience with Cloud SQL/PostgreSQL and performance optimization for analytical serving patterns
* Familiarity with healthcare or insurance data ecosystems, or other regulated environments
* Experience improving platform reliability through observability, documentation, and operational playbooks
* Experience optimizing cloud infrastructure for cost, performance, and resiliency
* Experience building internal tools or prodyct-tacing analytics applications
* Advanced degree in computer science, engineering, or related field
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