Data Engineer
Core
Design, build, and optimize scalable data platforms and pipelines using Airflow, Kubernetes, and Google BigQuery.
Role type
Data Engineer
Builds
Data pipelines, cloud infrastructure, and ETL/ELT workflows
Domain
Cloud data engineering and infrastructure
Deliverable
production ML models | infrastructure
Required skills
Airflow, Kubernetes, Python, SQL, Terraform, Docker, CI/CD, cloud data warehouses
Preferred skills
Data quality frameworks, data catalog management, metadata governance
Technologies
Airflow, Kubernetes, Google BigQuery, Terraform, Docker, Google Cloud, Azure
Responsibilities
Design and maintain complex data pipelines; deploy and operate workloads on Kubernetes; apply DevOps practices for infrastructure as code; implement data validation and monitoring best practices
Seniority
Mid-level, hands-on IC
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