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Mid-level popular data role, metro market, and broad GCP skillset make candidate competition high.
Data engineering skills are transferable, but GCP/BigQuery specificity reduces portability to medium.
Explicit 4+ years plus mandatory GCP/BigQuery and specific tooling create strict shortlisting filters.
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Design, develop, and maintain scalable data pipelines and data warehouses on GCP using BigQuery and related services.
Optimize BigQuery performance, query costs, and storage while ensuring data quality, security, and governance.
Implement ETL/ELT workflows, CI/CD processes, and automate deployment for large-scale data processing solutions.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
4+ years of experience in Data Engineering, with at least 2 years hands-on experience in GCP BigQuery.
Strong SQL query optimization and performance tuning skills.
Experience with GCP services including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Composer.
Experienced in building large-scale, cloud-native data platforms using GCP and advanced data engineering techniques.
Capable of managing end-to-end data lifecycle including design, development, optimization, and automation within cloud environments.
Familiar with cloud security, governance, and data quality best practices, and comfortable collaborating with stakeholders to meet analytics requirements.