Data Architecture experience: Experience architecting solutions in Cloud Data Engineering platform (eg: Google Cloud Platform, AWS, Azure)
Deep hands-on experience in designing endtoend data architectures on Google Cloud Platform leveraging BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, and Looker.
Develop modern data lake, data warehouse, and lakehouse architectures using best practices and wellarchitected frameworks in Google Cloud Platform and prefer to have experience in AWS, Azure & Databricks
Create logical and physical data models, data flow diagrams, integration patterns, and reference architectures.
Architect scalable ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), and/or Cloud Composer orchestrations.
Lead cloud-native modernization initiatives: migration from legacy platforms to Google Cloud Platform.
For applications and inquiries, contact: hirings@openkyber.com
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