DBT in productive use (models, macros, tests, documentation).
GitLab (or equivalent Git workflow) including CI-supported deployment of data models.
Experience refactoring existing pipelines rather than greenfield builds; able to work from written requirements and mock-ups.
Fluent English (B2/C1) .
We are looking for a Senior Developer to join our team and work on the Snowflake analytics layer . The role will involve refactoring and extending existing data pipelines, as well as implementing business requirements and enhancements identified through requirements engineering and business reviews.
,[Refine and extend the Snowflake analytics layer for the in-scope pipelines: source, aggregated and consumer-oriented data products., Implement business requirement updates: new attributes, changed aggregation logic, drill-down levels, historization/versioning of planning cycles., Build and maintain DBT models, tests and documentation; manage code in GitLab with branch/merge-request discipline and code review., Design and implement transformation and analytics logic (lot status consolidation, rejection-reason breakdowns, standard-vs-actual effort comparison, basic statistical process control where required)., Ensure compliance with standards like naming conventions, layering, data-product ownership, lineage and documentation., Perform data validation and reconciliation against source systems; support data-quality monitoring., Participate in sprint planning, estimation, demos; fix UAT defects and refine logic based on feedback., Contribute to technical documentation and knowledge transfer toward the support organization.] Requirements: Snowflake, dbt, SQL
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