We are looking for a skilled Data Engineer with hands-on experience in Snowflake and dbt. The ideal candidate should have strong SQL and data transformation skills, along with experience building and optimizing contemporary data pipelines and data warehouse solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Develop and optimize data transformations using dbt.
- Work extensively with Snowflake for data ingestion, transformation, storage, and analytics.
- Develop complex and optimized SQL queries for data processing and transformation.
- Design and implement effective data models to support reporting and analytics.
- Monitor and optimize data warehouse performance, including query and storage optimization.
- Follow data engineering best practices around data quality, scalability, security, and maintainability.
- Collaborate with data analysts, business stakeholders,
and other engineering teams to understand data requirements and deliver reliable solutions.
Required Skills
- Hands-on experience with Snowflake.
- Strong hands-on experience with dbt.
- Strong SQL skills.
- Experience with ETL/ELT pipelines and data transformation.
- Strong understanding of data modeling concepts.
- Experience with data warehouse optimization and performance tuning.
- Knowledge of cloud data platforms and modern data engineering practices.
- Strong analytical and problem-solving skills.
Must-Have Skills: Snowflake | dbt | SQL | ETL/ELT | Data Modeling | Data Warehousing
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.