Data Engineer Senior Specialist - WebOps - Web Analytics
Google Operations CenterMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level popular data role, broad BigQuery/GCP skillset and multiple amplifiers increase competition.
Core BigQuery/ETL skills transfer well, but marketing analytics and GCP emphasis increases domain specificity.
Explicit 5+ years requirement plus mandatory BigQuery/ETL/GCP and dataops skills produce high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Oversee and review development of data infrastructure ensuring accurate, reliable data for Cloud Marketing teams' business decisions.
Act as subject matter expert and quality auditor, leading design and troubleshooting of innovative data solutions on large-scale Google production data infrastructure.
Serve as technical liaison between business and analysts, supervising design and performance optimization of new data products.
Minimum Requirements
5+ years experience with advanced SQL and managing large datasets.
Strong expertise in building, troubleshooting, and maintaining ETL pipelines on GCP BigQuery, with knowledge of OLAP and data warehousing.
Experience with Large Language Models (LLMs) including prompt engineering and translating business requirements to technical solutions.
Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in managing and mentoring data engineering teams with focus on data quality and infrastructure reliability.
Strong technical communication skills, capable of bridging business teams and engineering with clear documentation and liaison.
Skilled in DevOps/DataOps principles, system stability, error handling, and optimizing data processing in a complex, fast-paced environment.