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Engenheiro de Inteligência de Negócios - Remoto

Santa Bárbara do Oeste / SP

Vaga cód. 29377888045



Oportunidade aberta em Santa Bárbara do Oeste, SP na área Administrativa, postada em 30/06/2025.

Scient One

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Engenheiro de Inteligência de Negócios - Remoto


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Job Description: We are seeking a talented ETL/BI Engineer to design, develop, and maintain robust data pipelines, semantic models, and business intelligence solutions.
The ideal candidate will have hands-on experience with AWS Glue, Amazon Redshift, and building modern semantic layers using tools like LookML (Looker) and Cube.
You will be instrumental in shaping scalable data architecture, enabling self-service analytics, and delivering reliable insights across the organization.
Fluent English is required, as this role involves collaboration with international teams and stakeholders.Key Responsibilities:Design, implement, and optimize ETL workflows using AWS Glue and other AWS services.Build and maintain data warehouses using Amazon Redshift, ensuring scalability, performance, and cost-efficiency.Develop and manage semantic layers using LookML (Looker) and Cube to standardize metrics and simplify data access for business users.Create scalable, reusable data models and data marts to support analytics and reporting needs.Collaborate closely with data analysts, engineers, and stakeholders to translate business requirements into technical solutions.Ensure data integrity, quality, and consistency across the full data lifecycle.Automate and monitor data integration workflows, and maintain comprehensive documentation.Qualifications:3+ years of experience with ETL/ELT processes and cloud-based data pipelines, especially using AWS Glue.Strong proficiency in Amazon Redshift, including data modeling and query performance optimization.Hands-on experience with LookML for Looker semantic modeling.Familiarity or experience with Cube ( cube.dev/) for building headless BI and semantic APIs is highly desirable.Proficiency in SQL and scripting languages (e.g., Python).Experience with BI tools such as Looker, QuickSight, Tableau, or Power BI.Solid understanding of data governance, lineage, and metadata management.Strong communication and collaboration skills.Fluent English required.

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