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Staffworx is looking for a GCP Data Engineer to support their digital Google Cloud transformation programme. The ideal candidate will be responsible for developing ETL processes for data ingestion and preparation, optimizing real-time data processing workflows using GCP services like Dataflow, Pub/Sub, and BigQuery Streaming. Proficiency in programming languages such as Python, PySpark, and Java is necessary, along with experience in using version control tools like Git and GitHub. Familiarity with data orchestration tools like GCP Cloud Composer is a plus.

Staffworx is looking for a GCP Data Engineer to participate in a digital Google Cloud transformation program. Responsibilities include developing ETL processes for data ingestion and preparation, optimizing real-time data processing workflows, and working with technologies such as SparkSQL, CloudRun, and GCP services. Familiarity with data orchestration tools and having a GCP certification is advantageous. Candidates should be proficient in programming languages including Python, PySpark, and Java.