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Tier-1 brand and metro location increase applicant density despite senior specialization.
Core data engineering skills (GCP, BigQuery, ETL) are highly transferable across industries.
Explicit 10+ years requirement and mandatory GCP/data stack create strict filters.
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Design, build, and support data pipelines and models using cloud technologies, primarily GCP, for the enterprise data warehouse.
Collaborate with business analysts, architects, and stakeholders to deliver business initiatives and data solutions.
Lead small projects, mentor team members, and participate in evaluation and implementation of emerging big data tools and processes.
10-12+ years total experience in ETL/Data mainly; minimum 4+ years relevant experience with Cloud (preferably GCP).
Strong technical and project leadership experience including mentoring developers.
Proficiency in GCP data services (Big Query, Cloud Storage, Composer, Cloud Functions), SQL, and data warehousing concepts.
Excellent verbal and written communication skills.
Experienced data engineer with a strong background in cloud-based data warehousing and ETL, especially on Google Cloud Platform.
Capable of leading small teams or projects and driving technical decisions in ambiguous and complex environments.
Able to work cross-functionally with business and technology stakeholders to align data engineering solutions with business needs.