Senior GCP Data Engineer
AceStack LLC
Job Title: Senior GCP Data Engineer
Location: Atlanta, GA
(ONSITE-5Days/Week)
FULLTIME ONLY Job Description
Must Have Technical/Functional Skills
• 8-10 years Google GCP 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.
Location: Atlanta, GA
(ONSITE-5Days/Week)
FULLTIME ONLY Job Description
Must Have Technical/Functional Skills
• 8-10 years Google GCP 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.
Vacancy posted 2 days ago
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