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Tier-1 brand, mid-level generalist data engineer title, metro location, and broad GCP skillset drive high competition.
Core data engineering skills transfer well, but GCP and consulting experience create moderate industry specificity.
Explicit 5-year requirement plus mandatory GCP, dbt, BigQuery, Python, and Airflow experience enforces high shortlisting strictness.
Design, build, and maintain scalable data pipelines and cloud-native data platforms on Google Cloud Platform (GCP).
Implement and operate end-to-end data pipeline workflows using tools like BigQuery, Dataflow, Apache Airflow (Cloud Composer), and dbt.
Drive best practices in data modeling, CI/CD, DataOps, security, and mentor junior engineers within delivery teams.
5 years of hands-on experience designing and operating data platforms and pipelines.
3+ years of experience with Google Cloud Platform services including BigQuery, Dataflow, and Cloud Storage.
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
Proficiency in Python and advanced SQL skills; experience with Apache Airflow, dbt, and CI/CD pipelines.
Experienced in architecting scalable ELT/ETL data workflows within large cloud environments, especially GCP.
Capable of translating complex business requirements into technical implementations with a focus on performance and maintainability.
Able to lead technical efforts, mentor junior staff, and communicate effectively in agile, client-facing teams.