- Design and implement data pipelines using Snowflake, dbt, and Kafka.
- Develop and maintain large-scale data warehouses and data lakes.
- Collaborate with cross-functional teams to identify and prioritize project requirements.
- Ensure data quality and integrity by implementing data validation and testing procedures.
- Optimize data processing workflows for improved performance and efficiency.
- Troubleshoot and resolve technical issues related to data engineering projects.
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