We are seeking an experienced Cloud Data Engineer with strong expertise in Google BigQuery and dbt.
The ideal candidate will have extensive experience in cloud data warehousing, advanced analytics environments, and data platform architecture. This role will support the migration and modernization of data warehousing infrastructure and Spark/analytics environments.
The candidate should possess a broad technical skill set along with strong presentation, communication, and stakeholder management skills to collaborate effectively with senior engineering teams and stakeholders.
Key Responsibilities
Define and gather comprehensive requirements for cloud data warehousing and analytics platforms.
Design and develop scalable data architecture and solutions using Google BigQuery.
Support the migration and modernization of existing data warehousing infrastructure.
Design and implement data transformation workflows using dbt.
Work on advanced analytics and Apache Spark environments.
Optimize BigQuery storage management and performance.
Optimize and manage BI Engine for analytics and reporting workloads.
Develop and optimize complex SQL queries.
Perform BigQuery system administration and platform management.
Collaborate with engineering teams to define technical architecture and design standards.
Work closely with stakeholders to communicate technical requirements, solutions, and recommendations.
Support data platform strategy, architecture, and implementation initiatives.
Ensure scalable, reliable, and high-performing data solutions.
Required Skills
Strong hands-on expertise in Google BigQuery.
Strong experience with dbt (Data Build Tool).
Experience with cloud data warehousing and data platform architecture.
Strong experience with complex SQL querying and query optimization.
Experience with BigQuery storage management.
Experience optimizing BI Engine.
Experience with BigQuery administration and system management.
Experience working with advanced analytics and Apache Spark environments.
Strong understanding of data warehouse migration and modernization.
Experience in defining technical requirements, architecture, and solution designs.
Excellent presentation and stakeholder management skills.
Strong communication and collaboration skills.
Preferred Qualifications
Experience migrating enterprise data warehousing platforms to cloud environments.
Experience designing scalable enterprise data architectures.
Experience working with senior or principal engineering teams.
Ability to work effectively in a remote environment aligned with US PST working hours.
Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.
We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.
Skills
Apache Sparkunmatched
Business Intelligenceunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Data Analysisunmatched
Data Migrationunmatched
Data Warehousingunmatched
Enterprise Architectureunmatched
Presentation/Verbal Skillsunmatched
Problem Solving Skillsunmatched
Query Optimizationunmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Software Engineeringunmatched
Systems Administration/Managementunmatched
Team Playerunmatched
Technical/Engineering Designunmatched
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