GCP Data Engineer (Java, Spark, ETL)
Future Talent Pool, GCP Data Engineer, London, hybrid role new workstreams on digital Google Cloud transformation programme Proficiency in programming languages such as Python and Java
Programming languages Pyspark & Java
develop ETL processes for Data ingestion & preparation
SparkSQL
CloudRun, DataFlow, CloudStorage
GCP BigQuery
Google Cloud Platform Data Studio
Unix/Linux Platform
Version control tools (Git, GitHub), automated deployment tools
Google Cloud Platform services, Pub/Sub, BigQuery Streaming and related technologies.
Deep understanding of Real Time data processing and event-driven architectures.
Familiarity with data orchestration tools Google Cloud Platform cloud composer.
Google Cloud Platform certification(s) is a strong advantage.
Develop, implement, and optimize Real Time data processing workflows using Google Cloud Platform services such as Dataflow, Pub/Sub, and BigQuery Streaming.
6 months initial, likely long term extensions
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