11 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 GCP is a must.
Proficiency in tools and technologies: BigQuery Cloud Functions Cloud Run Dataform Dataflow Dataproc SQL Python Airflow PubSub.
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.
Handson experience with GCP 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.
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