About the Role
The role involves building and optimizing data warehouse systems using Google Cloud Platform, ensuring data accuracy, performance, and accessibility for reporting and analytical needs.
Responsibilities
- Design and implement data warehouse architectures on Google Cloud Platform
- Develop ETL pipelines to extract, transform, and load data from multiple sources
- Optimize data models for query performance and scalability
- Collaborate with data analysts and engineers to understand reporting requirements
- Ensure data integrity and consistency across systems
- Monitor and troubleshoot data workflows and processing jobs
- Maintain documentation for data structures and transformation logic
- Support business intelligence tools with reliable data sources
- Implement data validation and quality checks
- Work with cloud storage solutions such as BigQuery
- Apply best practices in data security and access controls
- Contribute to continuous integration and deployment processes
- Participate in code reviews and technical design sessions
- Troubleshoot production issues related to data pipelines
- Ensure compliance with data governance standards
- Improve data processing efficiency and reduce latency
- Assist in capacity planning for data growth
- Integrate third-party data sources into the warehouse
- Automate routine data management tasks
- Collaborate with cross-functional teams in a hybrid environment
Nice to Have
- Certification in Google Cloud Professional Data Engineer
- Experience with Terraform or infrastructure as code
- Background in gaming or high-transaction environments
- Knowledge of real-time data processing
- Familiarity with Kubernetes or containerized environments
- Experience with data orchestration tools like Apache Airflow
- Understanding of machine learning data pipelines
- Exposure to DevOps practices in data projects
- Previous work in hybrid or remote teams
- Contributions to data engineering best practices
Compensation
Competitive salary with benefits package
Work Arrangement
Hybrid
Team
Part of a technology-driven team focused on scalable data solutions
What We Offer
- Opportunities for professional development and technical growth
- Supportive team environment with a focus on innovation
- Access to cutting-edge cloud technologies and tools
- Flexible working arrangements including hybrid options
- Inclusive culture that values diverse perspectives
Application Process
- Submit your resume and cover letter
- Successful candidates will be contacted for an initial screening
- Technical assessment may be part of the evaluation
- Interviews conducted with team members and hiring managers
- Final stage includes discussion of role fit and expectations
Not specified
