- Company Name
- DAVIDSON CONSULTING
- Job Title
- Cloud Data Engineer GCP (H/F)
- Job Description
-
**Job Title**
Cloud Data Engineer – GCP
**Role Summary**
Drive migration of client data environments to Google Cloud Platform. Design, develop, and secure cloud-native data pipelines and services while implementing full DevOps practices. Collaborate with client data teams to ensure smooth transition, automation, and continuous improvement.
**Expectations**
- Deliver high‑quality GCP solutions within project timelines.
- Demonstrate ownership of end‑to‑end migration lifecycle.
- Communicate progress and technical decisions clearly to stakeholders.
- Continuously refine processes and share best practices.
**Key Responsibilities**
1. Analyze client data requirements and architect GCP migration solutions.
2. Develop and maintain data pipelines, ETL workflows, and data services in GCP.
3. Implement security controls for code, data, and cloud resources.
4. Build and manage CI/CD pipelines (Git, Cloud Build, Terraform, etc.).
5. Automate deployment, scaling, and monitoring of GCP resources (Dataproc, BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.).
6. Containerize workloads with Docker/Kubernetes (GKE).
7. Integrate APIs and manage API gateways.
8. Document solutions, best practices, and operational procedures.
9. Mentor junior team members and contribute to knowledge sharing.
**Required Skills**
*Technical*
- Google Cloud Platform (Compute Engine, Cloud Storage, BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Composer, Cloud Functions).
- Cloud automation & IaC (Terraform, Cloud Deployment Manager).
- CI/CD tooling (GitHub Actions, Cloud Build, Jenkins, GitLab CI).
- Containerization (Docker) and orchestration (Kubernetes/GKE).
- Python programming (data processing, scripting).
- API management (Apigee, Cloud Endpoints).
- Experience with security best practices in cloud (IAM, KMS, VPC Service Controls).
*Soft*
- Autonomous problem solving.
- Strong communication and stakeholder engagement.
- Proactive and innovative mindset.
- Ability to work collaboratively in cross‑functional teams.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent (minimum 5 years of higher education).
- Preferred certifications: Google Cloud Professional Data Engineer, GCP Associate Cloud Engineer, or equivalent.
- Azure certifications are a plus but not mandatory.