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Mid-level GCP data engineer, generalist title and metro location create high candidate density.
Core data engineering and cloud skills transfer easily across industries, so background fit sensitivity is low.
Mandatory 5+ years and specific GCP, BigQuery, Python, Terraform skills enforce strict filtering.
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Lead and execute data management and engineering projects within Google Cloud Platform (GCP), including data migration, analysis, pipeline design, and implementation.
Collaborate with customers and internal teams to translate business needs into scalable GCP data solutions and maintain data quality, security, and governance.
Conduct client workshops to define data strategies, develop data models and schemas, and support ongoing solution maintenance in cloud data environments.
5+ years of experience in data engineering, cloud architecture, or data infrastructure.
3+ years of experience working with Google Cloud Platform (GCP) or similar cloud services (Azure, AWS).
Proficiency with GCP managed data services such as Cloud Bigtable, Cloud Spanner, Cloud SQL, and BigQuery.
Experience with data modeling, ETL/ELT processes, relational and cloud-based databases, and scripting languages like Python; Infrastructure as Code knowledge (Terraform, Ansible).
Experienced in leading end-to-end cloud data engineering projects specifically within GCP environments with measurable impact on data strategy and architecture.
Skilled at collaborating cross-functionally with technical and business stakeholders to design and implement robust, secure, and scalable data solutions.
Capable of bridging legacy system migrations to contemporary cloud architectures while ensuring data quality and security compliance.