### **Join Amicci!** At Amicci, we seek highly motivated individuals with a growth mindset and ambition to develop in a dynamic and challenging environment. If you want to be part of a team that values excellence, innovation, and results, this could be your opportunity! ### **About the role:** Building the future with cutting-edge technology is what drives us at Amicci. We are at an inflection point: transforming our platform — already a benchmark for private-label brands — into an intelligent ecosystem orchestrated by AI Agents. This means moving away from manual workflows and evolving toward a multi-agent architecture where automation, intelligence, and scalability are the new normal. And this is where you come in. We understand none of this is possible without well-structured data. We are seeking a **Senior Data Engineer** passionate about taming chaos, modeling complex data, and transforming raw pipelines into solid foundations for analytics and AI. * Structure and evolve our Data Lake and Data Warehouse, ensuring scalability and governance; * Design, implement, and maintain robust data ingestion and transformation pipelines (ETL/ELT); * Collaborate with BI analysts and product squads to deliver clean and reliable data; * Define and apply best practices for data modeling, versioning, and data architecture; * Identify opportunities to improve performance, cost-efficiency, and security across our data platforms; * Ensure data integrity and traceability so information remains trustworthy and fully consumable; * Integrate BigQuery and Snowflake, optimizing data flows between different environments; * Implement partitioning, clustering, and cost-optimization strategies in BigQuery; * Create and maintain clear, up-to-date technical documentation; * Work with cross-functional teams to understand data needs and translate requirements into technical solutions; * Support the team in adopting best practices in data engineering, performance, and security; * Operate in cloud environments, using infrastructure-as-code and automated pipelines. **Requirements:** * Proven experience as a Data Engineer, especially in cloud environments; * Advanced SQL proficiency and strong data modeling practices; * Hands-on experience with BigQuery, Snowflake, or other large-scale data warehouse platforms; * Experience building ETL/ELT pipelines (e.g., dbt, Airflow, Dataform, etc.) and programming in Python; * Knowledge of data architecture best practices, including partitioning, clustering, and cost optimization; ### **Work model:** * Remote Do you identify with this opportunity? Apply now and grow with us!
João Silva
Indeed · HR
João Silva
Indeed · HR
