Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, common Data Engineer title, and mid-level 3+ years experience create high competition.
BigQuery and web-analytics focus moderately restricts cross-industry transferability.
Requires 3+ years, advanced SQL and BigQuery ETL expertise, making filters strict.
Develop and maintain fast, scalable, and reliable ETL pipelines for Google Analytics data into GCP BigQuery.
Optimize and troubleshoot existing data pipelines to ensure faster data responses and stable reporting infrastructure.
Build visualizations and data products to support business decisions and deliver insights to Google stakeholders.
3+ years of experience working with advanced SQL, managing large datasets for insight derivation.
Technical expertise in building, troubleshooting, and maintaining ETL pipelines on GCP BigQuery, with knowledge of OLAP technologies and data warehousing.
Ability to manage multiple projects in a fast-paced environment.
Work Experience Required: 3+ years relevant experience as specified in JD.
Experienced data engineer comfortable working with large-scale production data infrastructure on GCP BigQuery.
Capable of translating business needs into technical data solutions and collaborating directly with business stakeholders.
Demonstrates strong problem-solving skills with emphasis on performance optimization, code quality, and data accuracy.