Snowflake Data Engineer For Large-Scale Data Migration

Há 7 dias


Mato Grosso, Brasil beBeeDataMigration Tempo inteiro

About the Role This position is focused on executing a complex data platform migration to Snowflake, requiring hands-on execution and direct ownership of critical migration and data modelling tasks. Key responsibilities include data modeling & architecture, collaborating with client teams to define data requirements, designing and developing conceptual, logical, and physical data models optimized for Snowflake, and developing and documenting data models, data definitions, and data flow diagrams. Data migration & engineering involves executing technical migration of data from legacy systems to Snowflake, building and optimizing robust ELT/ETL data pipelines within Snowflake, implementing and automating data quality checks and validation processes, and troubleshooting and resolving complex technical issues related to data migration, modeling, and pipeline performance. The ideal candidate will have expert-level experience with Snowflake, data modeling, and data warehouse migrations, as well as strong data engineering skills, including proficiency in building data pipelines using SQL and modern tools. Required Skills & Qualifications Expert-level Snowflake: Deep, proven hands-on experience with the Snowflake platform (architecture, SnowSQL, Snowpipe, performance optimization). Expert-level Data Modeling: 4+ years of dedicated experience in data modeling (Dimensional, Relational) and data warehousing architecture. Proven Data Migration: 4+ years of experience executing complex, large-scale data warehouse migrations (non-lift-and-shift). Strong Data Engineering: Proficiency in building data pipelines (ELT/ETL) using SQL and modern tools (e.G., dbt, Python, or similar). Benefits This role offers an opportunity to work directly with a client's data team, delivering high-quality, production-ready code and models with minimal supervision. The ideal candidate will be a self-motivated 'do-er' with excellent communication skills and a strong understanding of how data models are consumed by BI tools and Data Science workloads.


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