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Tier-1 brand, mid-level generalist data role with common skills increases applicant competition.
Core data engineering skills transferable, but Google Analytics and GCP specifics moderately limit cross-industry fit.
Explicit 3+ years, mandatory BigQuery and advanced SQL make initial filters stringent.
Develop and maintain fast, scalable ETL pipelines for Google Analytics data into GCP BigQuery to support business decision-making.
Create and maintain dashboards and visualizations in partnership with Marketing Managers to resolve bugs and implement feature requests.
Optimize existing data pipelines and code quality for performance and adherence to Google standards.
3+ years of experience with advanced SQL manipulating large datasets to derive insights.
Technical expertise in building, troubleshooting, and maintaining ETL pipelines on GCP BigQuery, including knowledge of OLAP technologies and data warehousing.
Ability to manage multiple projects in a fast-paced environment.
Effective communication and leadership skills.
Experienced in collaborating directly with business and enablement teams, particularly marketing, to translate business needs into data solutions.
Skilled at troubleshooting, code quality optimization, and root cause analysis for data discrepancies.
Comfortable working within large-scale production data infrastructures in a fast-paced, high-impact environment.