• Lead the design and implementation of data models and architecture for scalable data solutions.
• Develop, test, and maintain robust ETL processes to ensure seamless data integration from various sources into Snowflake or other cloud platforms.
• Utilize SQL to perform data extraction, transformation, and loading, ensuring data quality and integrity throughout the pipeline.
• Collaborate with cross-functional teams to gather requirements, define project scope, and deliver data solutions that meet business needs.
• Manage and optimize cloud-based data solutions using GCP, AWS, or Azure, ensuring best practices in data storage and processing.
• Implement CI/CD pipelines to automate data engineering workflows and enhance deployment efficiency.
• Mentor and guide junior engineers, providing technical expertise and fostering a culture of continuous learning.
• Conduct ETL testing and troubleshooting to ensure the performance and reliability of data workflows.
• Stay updated on industry trends and emerging technologies in data engineering to drive innovation and improvements in data management practices.