We are looking for an experienced Snowflake Data Engineer to join our data engineering team. The ideal candidate should have strong hands-on experience in Snowflake, SQL, DBT, and Python/PySpark, with a solid understanding of up-to-date data engineering practices.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and data warehouse solutions using Snowflake.
- Develop complex and optimized SQL queries for data transformation and processing.
- Build and maintain data transformation workflows using DBT.
- Develop data processing and integration solutions using Python and/or PySpark.
- Work with large datasets and ensure data quality, accuracy, and reliability.
- Optimize Snowflake queries, data models, and overall pipeline performance.
- Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver effective solutions.
- Follow best practices for data modelling, ETL/ELT, testing, and documentation.
Required Skills
- 5–10 years of experience in Data Engineering.
- Strong hands-on experience with Snowflake.
- Excellent knowledge of SQL.
- Practical experience with DBT.
- Strong programming experience in Python and/or PySpark.
- Good understanding of ETL/ELT and data warehouse concepts.
- Experience working with large-scale data and building reliable data pipelines.
- Strong analytical and problem-solving skills.