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Global brand, mid-level generalist data engineer role, metro location and broad skillset amplify competition.
Core cloud data engineering skills (BigQuery, DBT, Airflow, Python) are highly transferable across industries.
Explicit 3+ years and multiple mandatory technologies (BigQuery, DBT, Airflow, Python) imply strict shortlisting.
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Lead design and development of scalable, secure data pipelines and cloud data warehouse solutions using Google BigQuery, Python, SQL, DBT, and Airflow.
Develop and maintain analytics-ready datasets by automating data ingestion, transformation, validation, and monitoring workflows.
Mentor junior engineers, establish engineering best practices, and collaborate cross-functionally to deliver business-aligned data solutions.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
Minimum 3+ years of hands-on experience in data engineering with expertise in data warehousing and cloud pipeline development.
Expertise in Google BigQuery, Python, SQL, DBT, and Airflow / Cloud Composer for workflow orchestration.
Experience in building enterprise-grade ETL/ELT pipelines and applying data quality frameworks.
Strong practical experience with large-scale cloud data warehousing and pipeline optimization using Google BigQuery.
Operates well in Agile environments and drives technical best practices including CI/CD and automation.
Capable of strategic solution architecture and mentoring technical teams for scalable data platform delivery.