Data Engineer
Summary
Build and maintain scalable data pipelines on Google Cloud using BigQuery, Cloud Storage, and Kubeflow, while automating infrastructure with Terraform, Kubernetes, and CI/CD tools.
Associate Manager- HR APPS & SI-TAG (UK & Europe) at HCL Technologies
Location - Amsterdam, Netherlands
Key Responsibilities
- Design and manage scalable data solutions using BigQuery and Cloud Storage.
- Build and maintain ML workflows using Kubeflow.
- Implement CI/CD pipelines using Cloud Build and Terraform.
- Deploy and manage containerized applications using Google Cloud Run.
- Apply SRE practices to monitor and improve system reliability and performance.
- Develop infrastructure as code using Terraform and Ansible.
- Set up and maintain observability stacks (e.g., ELK, Prometheus, Grafana).
- Automate deployment and provisioning using Docker, Kubernetes, and OpenShift.
- Collaborate with cross-functional teams to ensure secure, efficient, and resilient cloud operations.
Required Skills & Qualifications
- 3+ years of hands‑on experience with Google Cloud Platform services.
- Strong expertise in BigQuery, Cloud Storage, and Cloud Run.
- Experience building ML pipelines with Kubeflow.
- Proficiency in Terraform for infrastructure automation.
- Experience with Cloud Build and CI/CD pipeline design.
- Solid understanding of SRE concepts, including SLIs/SLOs, incident response, and postmortems.
- Familiarity with monitoring and observability tools (ELK stack, Prometheus, Grafana).
- Experience with Docker, Kubernetes, and OpenShift in production environments.
- Knowledge of infrastructure architecture, cloud security, and best practices.
Preferred Qualifications
- Certification in Google Cloud.
- Experience with Ansible for configuration management.
- Exposure to machine learning workflows and model deployment in cloud environments.
Seniority level
- Mid‑Senior level
Employment type
- Full‑time
Job function
- Information Technology
Industries
- Banking, Investment Banking, and Financial Services