Key Responsibilities
- Design, build, and maintain scalable data architectures including pipelines, warehouses, and lakes
- Ensure data accuracy, accessibility, and security across systems
- Develop processing algorithms aligned with data complexity and volume requirements
- Collaborate with data scientists to deploy machine learning models
- Optimize data transfer and processing for durability and consistency
- Adhere to enterprise security standards and compliance frameworks
Requirements
- In-depth expertise in SQL and data modeling
- Experience with ETL processes and data pipeline development
- Proficiency in data warehousing and lake technologies
- Strong problem-solving skills with attention to detail
- Ability to guide teams and communicate complex technical concepts