Key Responsibilities :
- Data Solution Design : Design and develop scalable data solutions within the Snowflake platform, including data warehouses, data lakes, and data models.
- Data Migration : Participate in the design and implementation of data migration strategies to ensure seamless data integration from various sources.
- Testing and Quality Assurance : Implement testing and debugging procedures to ensure accuracy, consistency, and reliability of data solutions.
- Performance Optimization : Monitor and optimize Snowflake performance, query tuning, and data load efficiency.
- Technical Support : Provide ongoing technical support, troubleshoot issues, and ensure smooth operation of data pipelines and integrations.
- Process Improvement : Contribute to the continuous enhancement of development standards, best practices, and data governance processes.
- Innovation : Stay up-to-date with advancements in Snowflake and emerging data warehousing technologies to propose innovative solutions.
Education & Experience :
Bachelor's degree in Computer Science, Information Technology, or a related field.Proven experience in data warehousing, ETL development, or data engineering roles.Strong proficiency in SQL and understanding of data modeling and data warehousing concepts .Hands-on experience with Snowflake or other cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse).Experience in ETL tools , data migration , and performance tuning is preferred.Skills Required
Data Modeling, Performance Tuning, Cloud Architecture, Data Warehousing