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Tier-1 brand, mid-level generalist data engineer, metro location and 3+ years amplify competition.
Core data engineering skills are transferable, but web-analytics focus requires domain familiarity.
Explicit 3+ years requirement plus mandatory BigQuery and advanced SQL create strict filters.
Build and optimize scalable ETL pipelines for Google Analytics data into GCP BigQuery to support business decision-making.
Develop and maintain visualizations and dashboards in partnership with Marketing Managers to deliver actionable business insights.
Ensure data pipeline and SQL code quality, troubleshooting performance issues and resolving data discrepancies for stable reporting infrastructure.
3+ years experience with advanced SQL and managing large datasets to derive insights.
Technical expertise in building, troubleshooting, and maintaining ETL pipelines on GCP BigQuery; knowledge of OLAP technologies and data warehousing.
Ability to manage multiple projects in a fast-paced environment.
Work Experience Required: Minimum 3 years in relevant data engineering roles.
Experienced in partnering directly with business stakeholders (e.g., Marketing Managers) to translate requirements into data products and visualizations.
Skilled in operating within large-scale production data environments, focusing on data pipeline performance and code quality adherence to standards.
Capable of leading design and optimization of data products and reviewing peer SQL code, indicating a collaborative and detail-oriented work style.