Key Responsibilities
- Design and implement data transformation pipelines to modernize Oracle Data Warehouses into Google Cloud Data Lakes
- Develop and optimize SQL queries, joins, and data manipulation for complex datasets
- Manage system integrations and architectural evolution for advanced analytics and AI readiness
- Ensure data cleanliness, accessibility, and compliance with modern data engineering best practices
- Collaborate with cross-functional teams to distribute high-quality data for AI and machine learning initiatives
- Troubleshoot technical issues and communicate complex data findings to stakeholders
Requirements
- Bachelor’s degree in Computer Science, Data Science, or a related quantitative field
- Strong proficiency in SQL (complex queries, joins, and data manipulation)
- Foundational experience with Python or Java for data pipeline development
- Understanding of ETL/ELT processes, schema design, and data modeling
- Familiarity with relational database management systems (RDBMS)