Design scalable technical architectures for data marts
Build and maintain high-volume data pipelines using Python, C#, Java, etc., and BigQuery
Lead migration initiatives to Google Cloud Platform (GCP), ensuring data harmony
Develop and tune data warehousing solutions for efficiency and reliability
Partner with Data Architects and Analysts to translate business requirements into technical specifications
Enforce rigorous data quality standards and maintain comprehensive documentation

3+ years in data engineering, data warehousing, and business intelligence
Advanced proficiency in T-SQL and either Python, C#, or Java
Expert-level experience with Google BigQuery and cloud services (GCP, AWS, Azure, etc.)
Proven proficiency in GCP services (BigQuery, Cloud Storage) and orchestration tools like Google Cloud Composer
Deep understanding of dimensional modeling, ETL/ELT best practices, and hybrid data integration
Ability to translate complex business needs into technical roadmaps and specific requirements
Proven success in high-paced environments, managing shifting priorities and ambiguous requirements with poise
Exceptional ability to articulate technical concepts to non-technical stakeholders and negotiate project scopes

Data Engineer I

Key skills