Senior Data Engineer at Verity designing and evolving data architectures. Building scalable pipelines and implementing data engineering best practices in cloud environments.
Responsibilities
Will be responsible for designing and evolving data architectures
Building scalable pipelines
Implementing engineering best practices in cloud environments
Playing a key role in evolving the data architecture and defining technical standards
Designing and evolving scalable data architectures in cloud environments
Developing robust pipelines for data ingestion, transformation, and delivery
Defining data engineering and data quality best practices
Structuring analytical datasets to support analytics and machine learning initiatives
Optimizing performance and governance of data environments
Supporting analytics teams in structuring datasets and pipelines
Contributing to continuous improvements in architecture and engineering processes
Requirements
Strong experience in data engineering
Experience with Python and advanced SQL
Experience with BigQuery or modern data warehouses
Experience with cloud environments (preferably GCP)
Experience building pipelines and modeling analytical data
Experience with layered data architectures (Medallion / Lakehouse)
Nice-to-have: Experience with Vertex AI or advanced data platforms
Experience with DataOps / MLOps
Experience with large-scale analytical environments
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