Join our team as a Data Migration Engineer, instrumental in the seamless transfer of data between systems. You will be responsible for the complete data migration lifecycle, from extraction and transformation to loading into target environments, adhering strictly to defined rules. A key focus will be on developing, executing, and validating migration scripts and processes to guarantee exceptional data quality and consistency. This role offers an opportunity to become a subject matter expert and contribute significantly to complex data projects.

Your daily activities will encompass managing the end-to-end data transfer process. This involves meticulously extracting data from source systems, transforming it to align with the target environment's needs, and ensuring its accurate loading. Continuous oversight and validation of migration scripts and workflows are crucial for maintaining data integrity. You will also collaborate with diverse teams to coordinate migration efforts and resolve any encountered issues, ensuring the overall success of data migration initiatives.

- Drive data migration projects, ensuring accuracy, efficiency, and adherence to quality standards. - Develop, test, and deploy robust migration scripts and processes. - Validate data integrity throughout the migration lifecycle. - Collaborate with cross-functional teams to understand data needs and migration objectives. - Contribute to the creation of detailed documentation for migration procedures. - Monitor and optimize migration workflows for enhanced performance. - Provide guidance and support to junior team members on migration tasks.

- A minimum of 3 years of hands-on experience with Snowflake Data Warehouse is essential. - Proven experience in designing and implementing data extraction, transformation, and loading (ETL) processes. - Strong understanding of data validation techniques to ensure data accuracy and completeness. - Demonstrated ability to troubleshoot and resolve complex data migration and integration issues. - Familiarity with scripting languages and automation tools to streamline migration tasks. - Solid grasp of database concepts and data modeling principles within a data warehousing context. - 15 years of full-time education completed.