Sr. Google Cloud Platform Data Engineer

Role:-  Senior Google Cloud Platform Data Engineer

Location:-  Atlanta, GA (onsite)

Fulltime

Job Description

Must Have Technical/Functional Skills

• 8-10 years Google Google Cloud Platform Bigquery Experience with good Python Skills. Experience in Atscale or similar Cubes and have experience on Dimensional Modelling or Designing Snowflake Schemas.
• Strong hands-on experience in Python and AtScale or similar cubes.

Roles & Responsibilities

Core Data Engineering:

• Strong proficiency in SQL (advanced query optimization, complex joins, window functions, large-scale data processing)
• Hands-on experience with Python for data processing, automation, and pipeline development.
• Deep experience building and maintaining ETL/ELT pipelines in modern cloud environments (preferably Google Cloud Platform / BigQuery)
• Experience with orchestration tools (e.g., Airflow, Cloud Composer) and CI/CD pipelines (e.g., Jenkins)
• Strong understanding of data quality, data validation, and production support practices

Universal Semantic Layer

• Configure and support USL with existing Mydrill and Finance Metrices.
• Build and maintain planning models, dimensions, metadata, and security in alignment with finance requirements.
• Develop and support business rules / calculation scripts, web input forms, and planning dashboards.
• Assist in performance tuning and optimization of planning calculations. Testing, UAT & Documentation 
• Support User Acceptance Testing (UAT) activities, including test execution, defect tracking, and validation of fixes. 
• Prepare and maintain functional documentation, configuration details, and user guides. 
• Assist with user training and knowledge transfer activities to ensure operational readiness.