Engenheiro De Dados - Etl/Bi

• 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 (https://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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