✨ About The Role
- The Data Engineer will design, develop, and maintain data models using Snowflake and DBT.
- Responsibilities include implementing and managing ETL processes to ensure data integrity and consistency.
- The role involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions.
- Optimizing SQL queries and data pipelines for performance and scalability is a key responsibility.
- Participation in code reviews and contributing to best practices in data engineering is expected.
âš¡ Requirements
- The ideal candidate will have a minimum of 3 years of relevant experience in data engineering.
- Proficiency in Snowflake, DBT, SQL, ETL, Data Modeling, and Data Warehousing is essential.
- A strong understanding of cloud platforms such as AWS is required.
- The candidate should possess excellent communication and teamwork abilities.
- A proactive attitude with a passion for continuous learning and improvement is crucial for success in this role.
- Strong analytical and problem-solving skills will be necessary to tackle complex data challenges.
- The ability to manage multiple tasks and projects simultaneously is important in this fast-paced environment.