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Mid-level generalist BigQuery/ETL role at a mid-tier firm, leading to moderate candidate competition.
Data engineering skills are transferable, but GCP BigQuery specialization slightly limits cross-industry fit.
Specific GCP BigQuery and ETL skill requirements impose moderate screening without explicit years constraint.
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Design, develop, and optimize scalable data solutions on Google Cloud Platform (GCP).
Build and maintain robust data pipelines ensuring data quality.
Enable business insights by managing data effectively using cloud-based analytics platforms.
Expertise in BigQuery and data warehousing.
Experience in ETL/ELT development.
Familiarity with cloud-based analytics platforms, specifically GCP.
Work Experience Required: Not explicitly mentioned in the JD.
Strong technical skills in GCP data services and pipeline optimization.
Experienced in managing data quality in cloud environments.
Able to translate business requirements into efficient data management practices.