[Job - 30340] Senior Data Developer (Analytics Engineer), Brazil

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CI&T

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1995

🤖 Inteligência Artificial

☁️ SaaS

💰 $5.500.000 Venture Round em 2014-04

Artificial Intelligence • Cloud Services • SaaS

CI&T é especialista global em transformação tecnológica, ajudando organizações a trilhar sua jornada tecnológica. Com serviços que vão de modernização de aplicações e soluções em cloud a data analytics com IA e experiência do cliente, a CI&T capacita negócios a acelerar o crescimento e maximizar a eficiência operacional. A empresa enfatiza design de produtos digitais, consultoria estratégica e experiências imersivas, assegurando um suporte robusto para empresas de diversos setores.

Descrição

• Senior Data Developer (Analytics Engineer) who serves as a bridge between business and technology • Own the complete lifecycle of data products – from ingestion and modeling through final delivery • Ensure that data is structured, validated, and ready for consumption in AI and analytics environments • Actively engage with business stakeholders to understand context, challenges, and underlying needs • Translate complex requirements into clear, detailed technical specifications that enable effective use of AI and analytics platforms • Take full responsibility for the data products built – from ingestion through modeling, transformation, validation, to final delivery and ongoing monitoring • Implement and maintain rigorous validation processes, automated testing, and quality checks to ensure data accuracy and integrity • Design and implement data transformation layers that pre-aggregate business information • Collaborate with AI teams to specify and prepare structured data, data dictionaries, and models that enable AI platforms and intelligent reporting capabilities • Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL and Python • Proactively identify improvement opportunities, anticipate internal customer needs, and propose innovative solutions • Deliver reliable data solutions with speed and precision, balancing the need for rapid iteration with high quality standards • Articulate technical concepts clearly to non-technical audiences, facilitate alignments, present solution proposals, and document modeling and architecture decisions

🎯 Requisitos

• Proven experience in a Data Engineering or Analytics Engineering role at senior level • Advanced proficiency in SQL and Python for data analysis, transformation, and validation • Solid experience in data modeling and data warehouse design • Hands-on experience working with BigQuery (or other cloud-based data warehouse platform) • Demonstrated ability to understand complex business logic and validate results from a business perspective, not just technical • Strong sense of ownership and proactive mindset – a professional who proposes improvements, challenges requirements when necessary, and doesn't wait to be asked to act • Experience specifying and preparing data requirements for AI or machine learning applications • Advanced/fluent English (reading, writing, and conversation) – constant communication with international stakeholders is required • Track record of delivering high-impact projects quickly and with quality.

🏖️ Benefícios

• Health and dental insurance • Meal and food allowance • Childcare assistance • Extended paternity leave • Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; • Profit Sharing and Results Participation (PLR); • Life insurance • Continuous learning platform (CI&T University); • Discount club • Free online platform dedicated to physical, mental, and overall well-being • Pregnancy and responsible parenting course • Partnerships with online learning platforms • Language learning platform • And many more!