Cloud Data Architect Specialist

Há 8 horas

Capão da Canoa, Brasil Bebeedata Tempo inteiro

Data Engineering ExpertiseWe are seeking a highly skilled Data Engineer to lead the design, architecture, and implementation of secure, scalable data solutions on cloud platforms.This is an excellent opportunity for individuals who possess strong technical expertise in designing and implementing data pipelines and systems.Key Responsibilities:Design and Development: Design, develop, and maintain highly scalable, secure, and resilient data pipelines and systems on cloud platforms.Advanced Data Integration: Architect and implement advanced data integration solutions to support complex analytics, business intelligence, and enterprise reporting needs.Cross-Functional Collaboration: Collaborate with cross-functional teams to understand and deliver on evolving data requirements.Data Quality and Integrity: Ensure highest standards of data quality, integrity, and security through comprehensive testing, validation, and robust governance practices.Workflow Optimization: Monitor, optimize, and scale data workflows to achieve performance, reliability, and cost-efficiency targets across both cloud and legacy environments.Troubleshooting and Leadership: Proactively identify, investigate, and resolve data-related issues, providing technical leadership, mentorship, and guidance to junior team members.Continuous Improvement: Champion continuous improvement by staying current with industry trends, emerging technologies, best practices, and by driving innovation in data engineering processes and solutions.Requirements:Experience and Skills: Minimum 7 years of progressive experience in data engineering, with strong emphasis on designing and implementing cloud-based solutions; advanced proficiency in SQL, with hands-on experience in both relational and NoSQL databases.Cloud Expertise: Extensive experience architecting and operating data platforms on AWS and Azure; relevant cloud certifications strongly preferred.Data Warehousing and ETL/ELT: Deep knowledge of data warehousing concepts, ETL/ELT processes, data modeling, and enterprise data governance frameworks.

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