Skills & Requirements :
- In depth experience as an Architect who has experience in Google Cloud Platform and is passionate about applying latest technologies to solve business problems. An ideal candidate would have :
- 18+ years of experience in Data Engineering & Cloud Native technologies (including Google Cloud Platforms) that cover the big data, analytics and AI / ML domain is essential with experience using GCP
- Experience in BigQuery, Cloud Composer, Data Flow, Cloud Storage, AI Platform / Vertex AI, Dataproc, GCP IaaS Creating, deploying, configuring, and scaling applications on GCP serverless infrastructure.
- Knowledge and working experience in - Data Engineering, Data Management and Data Governance
- Experience of working in multiple End to End Data Engineering and or Analytics projects
- Knowledge of general programming languages and frameworks, in particular python and / or Java
- General technology best practices and development lifecycles such as agile and CI / CD but also those enabling more efficient employment of data and machine learning such as DevOps and MLOps.
- Technical architecture leadership and direction on projects resulting in secure, scalable, reliable, and maintainable platforms.
- Architecture skills that enable the creation of future-proof, complex global solutions using GCP services.
- Implementation and / or creation of foundational architectures, including microservices, event-driven and event streaming, and those that enable online machine learning systems.
- Excellent communication and influencing skills, being able to adapt according to target audience.
Good to have :
Experience in Container technology, specifically Docker and Kubernetes, DevOps on GCPGoogle Cloud - Professional Cloud Architect CertificationSkills Required
data engineering , Devops, Gcp, Data Management, BigQuery, Kubernetes