Analytics Engineer - Google Cloud Platform

Description

Key Responsibilities

• Design and implement data transformation layers on BigQuery using Dataform or dbt
• Own end-to-end ELT pipelines, ensuring data accuracy, performance, and scalability
• Develop and maintain staging, intermediate, and mart layers following analytics engineering best practices
• Build incremental models, snapshots, and SCDs (Slowly Changing Dimensions)
• Optimize BigQuery SQL for performance and cost efficiency
• Implement data quality checks, metadata management, and governance using Dataplex and Data Catalog
• Use Git-based version control and CI/CD pipelines for production-grade transformation workflows
• Create clear technical documentation and collaborate with client stakeholders
  

Required Technical Skills

• Dataform for native BigQuery transformation workflows
• dbt (BigQuery adapter) for analytics engineering projects
• Advanced BigQuery SQL : CTEs, window functions, MERGE statements, scripting
• Incremental models, snapshots, and SCD implementations
• SQLX and JavaScript in Dataform for reusable and dynamic transformations
• Data modeling techniques : staging, intermediate, and mart layer patterns
• Dataplex data quality rules and Data Catalog tagging
• Git-based version control and CI/CD for data transformation projects
  

Experience & Qualifications

• 3+ years of experience in analytics engineering or data engineering
• At least 1 year of hands-on experience with BigQuery
• Delivered 2+ Dataform or dbt projects with 50+ production models
• Strong communication skills for client interaction and technical documentation
• Experience working in client-facing or consulting environments is a plus
  

Nice To Have

• Experience supporting BI tools (Looker, Tableau, Power BI)
• Familiarity with data governance and compliance frameworks
• Exposure to large-scale enterprise data platforms on GCP
  

Why Join Us

• Work on enterprise-grade Google Cloud analytics projects
• High ownership and impact across the data lifecycle
• Opportunity to collaborate with experienced cloud and data teams
• Competitive compensation and career growth opportunities