Data Engineer Senior Specialist - WebOps - Web Analytics
Google Operations CenterMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong Tier-1 brand, mid-level generalist data role, and metro hiring drive high candidate competition.
Core data engineering skills are transferable, but web-analytics and BigQuery/GCP focus increases domain specificity.
Explicit 5+ years requirement plus mandatory BigQuery/ETL and dataops/GCP skills enforce strict technical filters.
Job Description
Structured overview of role & requirementsAbout This Role
Oversee and review the development of data infrastructure and ETL pipelines on GCP BigQuery to ensure accurate data for Cloud Marketing teams' decision making.
Act as a subject matter expert and technical liaison between business, analyst, and engineering teams; lead design and optimization of data products and visualization solutions.
Design and troubleshoot innovative data solutions using Google’s large-scale production data infrastructure, including working with Large Language Models (LLMs) and applying DevOps/DataOps principles.
Minimum Requirements
5+ years experience with advanced SQL and managing large datasets.
Strong technical expertise in building, troubleshooting, and maintaining ETL pipelines on GCP BigQuery, data warehousing, and OLAP technologies.
Effective communication and leadership skills essential to handle multiple fast-paced projects and supervise teams.
Work Experience Required: 5+ years explicitly mentioned.
Ideal Candidate Profile
Experienced in bridging business requirements with technical solutions, acting as a technical liaison and supervisor for data engineering teams.
Proficient in GCP, data pipeline optimization, and quality assurance including peer reviewing SQL and resolving data discrepancies.
Capable of working in fast-paced environments managing multiple projects while influencing stakeholders and driving technical improvements.