Contractor Senior Google Cloud Platform Data Engineer

Requirements:

• 10-15+ (for senior) of proven experience in modern cloud data engineering, broader data landscape experience and exposure and solid software engineering experience.
• Prior experience architecting and building successful enterprise scale data platforms in a green field environment is a must.
• Proficiency in building end-to-end data platforms and data services in Google Cloud Platform is a must.
• Proficiency in tools and technologies: BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub. ----- SQL/Python Must
• Experience with Microservices architectures - Kubernetes, Docker and Cloud Run
• Experience building Symantec layers.
• Proficiency in architecting and designing and development experience with batch and real time streaming infrastructure and workloads.
• Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
• Hands-on experience with Google Cloud Platform ecosystem and data lakehouse architectures.
• Strong understanding of data modeling, data architecture, and data governance principles.
• Excellent experience with DataOps principles and test automation.
• Excellent experience with observability tooling: Grafana, Datadog.