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We are looking for a Senior Data Migration Engineer to join Sii and our delivery team focused on SQL Server to Snowflake migrations for a global client operating in the tobacco industry. You will contribute to the development of Matillion pipelines, AI-assisted code conversion, automated testing, and data reconciliation from the outset.
Your tasks
Migrating database objects such as stored procedures, views, functions, and ETL logic from Microsoft SQL Server to Snowflake while ensuring functional equivalence
Designing, developing, and optimizing Matillion ELT pipelines for loading and transforming data into Snowflake
Building automated data validation and reconciliation frameworks in Python to compare source and target datasets during migration
Analyzing and resolving data discrepancies related to data type conversions, SQL dialect differences, and transformation logic
Leveraging AI coding assistants to accelerate code conversion and refactoring, while reviewing and productionizing AI-generated code
Optimizing Snowflake performance by tuning queries, virtual warehouses, clustering strategies, and transformation workloads
Creating automated testing suites to validate migration results and prevent regressions throughout the delivery lifecycle
Implementing CI/CD processes using Git and deployment pipelines to manage database, Snowflake, and Matillion releases across environments
Requirements
At least 5 years of hands-on experience developing and maintaining enterprise data warehouse solutions
Strong expertise in Microsoft SQL Server (T-SQL) and Snowflake, including performance optimization, stored procedures, views, functions, and query tuning
Proven experience migrating SQL Server workloads to Snowflake or another cloud data warehouse
Hands-on commercial experience with Snowflake, including knowledge of its architecture and performance optimization techniques
Strong Python skills for data engineering, with practical experience using pandas and pytest for automated testing and data validation
Experience using AI coding assistants in professional software development, with the ability to review and productionize AI-generated code
Advanced level of English
Nice-to-have requirements
Experience with Matillion ETL and building production ELT pipelines
Knowledge of traditional data warehousing concepts and exposure to cloud/data platforms such as AWS or Azure
A genuine willingness to learn, experiment, and troubleshoot, with comfort working through ambiguity and iterating on AI output
Advanced level of Polish
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