remote
GCP Data Engineer - Kasmoprav
Data Engineer
Senior GCP Data Engineer leading design, development, and optimization of scalable, secure cloud-native data platforms on Google Cloud, driving performance, cost‑efficiency, and enterprise integration across cross‑functional teams.
About the role
Key Responsibilities
- Design, build, and maintain scalable, cloud‑native data pipelines and data lake solutions on Google Cloud Platform.
- Architect and implement secure, high‑performance data architectures, leveraging BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
- Automate infrastructure provisioning and deployment using IaC tools (Terraform, Deployment Manager) and CI/CD pipelines.
- Collaborate with business stakeholders, data scientists, and DevOps to define data requirements, governance, and security policies.
- Optimize data processing workloads for cost, latency, and throughput, applying best practices in partitioning, clustering, and caching.
Requirements
- 8+ years of experience in data engineering with a focus on GCP services.
- Proficiency in SQL, Python, and data orchestration tools (Airflow, Dataflow).
- Strong knowledge of cloud security, IAM, encryption, and compliance frameworks.
- Hands‑on experience with infrastructure automation (Terraform, Cloud Build) and monitoring (Stackdriver).
- Excellent problem‑solving skills and ability to work independently in a remote environment.
Skills
sqlgcpterraformokta