(Summary generated by AI based on the full job description)
The project focuses on data architecture and hybrid platforms combining cloud and on-premise environments. It uses technologies like GCP (BigQuery, Dataflow, Dataproc, Pub/Sub), Spark, Kubernetes, and Big Data. Key responsibilities include defining architectural standards, leading migration and modernization projects, designing scalable analytics solutions, and supporting teams in optimization and documentation. The priority is to ensure high-quality data platforms emphasizing scalability and reliability.




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