FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and optimizing large-scale security data repositories using Google BigQuery and GCP services. Proficient in developing robust data pipelines and advanced data analysis with a strong foundation in SQL and Python.
Highest-signal resume keywords
Google BigQuery ArchitectureGCP Dataflow ServicesAdvanced SQL Query WritingPython Coding ExpertiseData Analytics Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData AnalysisSQL Query OptimizationData ModelingAutomation Solutions
Soft Skills
LeadershipCollaboration
Tools & Technologies
Google Cloud PlatformGCP Cloud RunGCP Cloud FunctionsLookMLVisualization Platforms
Certifications & Qualifications
Bachelor Degree in Computer ScienceBachelor Degree in Information Systems
Industry Keywords
Enterprise Security Data AnalysisData RepositoriesData Product ModelStreaming Data ProcessingBatch Data Processing
Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformMicroservicesPythonSQL
About the role
Key responsibilities & impact- Architecting and optimizing large-scale security data repositories within Google BigQuery
- Designing and implementing robust, low-latency data pipelines using GCP Dataflow services
- Leading analytics engineers technically to architect and deploy production-grade automation solutions
- Utilizing GCP Cloud Run and Cloud Functions to build scalable microservices
- Driving the transition from standard visualization to a scalable data product model
- Developing and maintaining a standardized semantic layer using LookML
- Building comprehensive business cases and data models surrounding Enterprise Security Data Analysis and Reporting
Requirements
What you’ll need- Proven experience architecting and developing solutions within Google Cloud Platform
- Deep technical mastery of Google BigQuery architecture
- Hands-on experience building streaming and batch data processing pipelines using GCP Dataflow services
- Advanced proficiency in writing complex, optimized SQL queries
- Strong hands-on coding expertise in Python to perform advanced data analysis
- Experience utilizing visualization platforms
- Bachelor degree in Computer Science/Information Systems or six or more years of work experience
- Eight or more years of professional experience in data analytics
Benefits
Comp & perks- Competitive salary
- Health insurance
- Paid time off
- Flexible work arrangements
- Professional development opportunities