Data Engineer specializing in Snowflake for innovative data solutions at Triggo.ai. Collaborating on data-driven projects across diverse sectors with a high-performance team.
Responsibilities
Required: strong expertise with the Snowflake platform;
Translate the client's strategy into data requirements and solutions;
Design and lead the definition of modern data architectures (Data Lake, Lakehouse, Data Warehouse);
Design and lead the implementation of end-to-end data projects;
Ensure solutions are scalable, resilient, and aligned with best practices;
Support prioritization and organization of requests, translating needs into actionable roadmaps;
Work closely with business stakeholders to ensure functional understanding and value generation;
Serve as a technical reference, raising the team's capabilities and mentoring more junior professionals;
Promote engineering best practices, governance, and data quality;
Actively participate in architectural decisions and the evolution of the data ecosystem.
Requirements
Ability to understand business problems and translate them into data solutions;
Experience structuring projects and taking them from conception to delivery;
Strong results orientation and commitment to delivering value;
Strong experience with modern data architectures (Data Lake, Lakehouse, modern Data Warehouse);
Proficiency in data modeling (analytical and transactional);
Experience with data pipelines (ETL/ELT) and large-scale processing;
Experience with cloud environments (AWS, Azure, or GCP);
Knowledge of data governance, data quality, and observability;
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