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Robert Half is seeking a skilled Data Engineer. This role is integral to managing and optimizing our data pipelines and infrastructure within a Google Cloud Platform (GCP) environment. The ideal candidate will bring a strong understanding of data quality and orchestration and have a data-driven mindset to support decision-making across the organization.
Job Responsibility:
Oversee data pipelines deployed through a mixture of Terraform, Python, Powershell, and SQL in a GCP data system
Use of Cloud Composer, GCS, and BigQuery as primary but not exhaustive services used to manage of ETL pipeline
Will be responsible for entirety of data pipelines and orchestration in GCP, including deployment, bug fixes, issue investigation and resolution, and more
Must be experienced in evaluating data quality and validation practices from ingestion through reporting
Will oversee ML-based data mastering solution in tandem with solution vendor
Requirements:
Proficiency in coding languages such as Python and SQL for data engineering tasks
Experience with orchestration tools and strong understanding of pipeline deployment processes
Hands-on expertise with key GCP services, including Cloud Composer, GCS, and BigQuery
Strong focus on data quality and the ability to evaluate data validation practices effectively
A data analyst mindset, with a focus on ensuring data usability and quality across systems
Familiarity with Terraform for infrastructure-as-code practices
Knowledge of data modeling and schema design is a plus
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