We are seeking a highly skilled Data Warehouse Engineer with a strong background in Data Vault 2.0 methodology to join our team. The ideal candidate will have a minimum of 5 years of experience in database architecture, data modeling, and data integration, with proven expertise in designing and implementing enterprise-scale data warehouses.
Key Responsibilities:
- Design and implement scalable and efficient Data Warehouse solutions using Data Vault 2.0 methodology.
- Develop and maintain data models, including hubs, links, and satellites, ensuring data consistency and quality.
- Collaborate with business stakeholders, data engineers, and analysts to define data integration and ETL frameworks.
- Lead the architecture and implementation of end-to-end Data Vault 2.0 solutions.
- Optimize data storage, retrieval, and performance using best practices in data architecture.
- Work with Snowflake (preferred) or other cloud-based data platforms to develop and deploy data solutions.
- Ensure compliance with data governance and security policies.
Required Qualifications:
- 5+ years of experience as a Data Warehouse Engineer.
- Proven expertise in Data Vault 2.0 methodology and hands-on experience with at least one end-to-end Data Vault 2.0 project.
- Strong understanding of data modeling, data integration, and ETL frameworks.
- Experience with Snowflake or similar cloud-based data platforms (preferred).
- Solid knowledge of SQL, data pipelines, and performance optimization techniques.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication and collaboration skills to work with cross-functional teams.
Preferred Qualifications:
- Experience with cloud-based data solutions (AWS, Azure, or GCP).
- Knowledge of Python, Scala, or other scripting languages for data processing.
- Familiarity with BI tools and reporting frameworks.