Description :

- Design and implement scalable data models using Data Vault 2.0 and Enterprise Data Modeling (EDM) principles.

- Work extensively with Snowflake, including data warehousing concepts, performance tuning, and optimization.

- Develop and maintain modular data pipelines using DBT for efficient data transformation.

- Build and manage robust ELT/ETL pipelines to support data integration and analytics use cases.

- Utilize orchestration tools like Apache Airflow to schedule, monitor, and manage workflows.

- Write optimized and complex SQL queries to handle large-scale data processing.

- Ensure data quality, consistency, and reliability across the data platform.

- Collaborate with cross-functional teams including data analysts, engineers, and business stakeholders.

- Troubleshoot data issues and continuously improve system performance and scalability.

Key Skills & Qualifications:

- Hands-on experience with Data Vault 2.0, EDM, and modern data warehousing practices.

- Strong expertise in Snowflake and performance optimization techniques.

- Practical experience with DBT for transformation and pipeline development.

- Solid understanding of ETL/ELT concepts and data engineering best practices.

- Experience with workflow orchestration tools (Airflow preferred).

- Advanced proficiency in SQL.

- Strong analytical, problem-solving, and debugging skills.

- Good communication skills with the ability to work effectively in a team environment.