





Mid-level, common Data Engineer role with broad GCP skills at a known mid-tier firm.
Specialized GCP and BigQuery requirements reduce transferability, but core data engineering skills remain transferable.
Explicit 5–8 years and several mandatory GCP, BigQuery, Terraform, Python skills create strict filters.
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Design and implement end-to-end data architectures on GCP using BigQuery, Dataflow, and Dataform to support enterprise data needs.
Lead scalable data modeling for multi-petabyte analytics and develop resilient streaming and batch pipelines using Apache Beam and Cloud Composer.
Provide technical leadership across hybrid and multi-cloud data integration, optimize system performance, enforce data security protocols, and mentor engineering teams.
5–8 years of professional experience in data engineering.
Expertise in Google Cloud Platform services including BigQuery, Dataflow, and Dataform.
Advanced proficiency in Python programming and SQL optimization.
Experience managing cloud infrastructure as code using Terraform.
Strong background in architecting large-scale data platforms on GCP with hybrid/multi-cloud environments.
Proven ability to lead technical strategy and mentor mid-level and junior engineers in data engineering practices.
Experience collaborating across Data Science, Business Intelligence, and executive teams to align data solutions with business goals.