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Tier-1 brand, metro location, mid-level generalist role with broad GCP skillset increases competition.
Strong GCP specialization and governance requirements moderately reduce cross-industry transferability.
Explicit 5+ years, 4+ years GCP, mandatory BigQuery and infra skills create highly strict filters.
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Lead design and development of enterprise-scale data pipelines and platform architecture on Google Cloud Platform.
Build and optimize petabyte-scale, fault-tolerant data processing systems using GCP services such as BigQuery, Cloud Dataflow, Composer, Pub/Sub, and Apache Beam.
Provide technical mentorship, lead code reviews, and implement data governance and compliance controls ensuring GDPR, SOX adherence.
5+ years of data engineering experience including 4+ years specifically on Google Cloud Platform.
Expert-level skills in BigQuery (advanced SQL, scripting, ML integration), Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Python and Java programming.
Bachelor’s or master’s degree in computer science, engineering, or related field.
Experience with data governance, compliance frameworks, and cloud infrastructure management (Terraform, CI/CD).
Strong cloud-native data engineering expertise with leadership in building scalable data platforms using GCP and distributed computing technologies.
Experience translating complex business requirements into technical solutions for large-scale, fault-tolerant data systems.
Proven ability to lead cross-functional projects, implement data governance, and mentor teams in a fast-evolving cloud data environment.