[Job - 30298] Senior Data Developer, Brazil

🕒 Julho 20

🇧🇷 Brasil – Remoto

⏰ Tempo Integral

🟠 Sênior

🖥 Engenheiro de Software

👻 Score fantasma 22%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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CI&T

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1995

💼 Consultoria

🏥 Saúde

📣 Marketing

💰 $5.500.000 Venture Round em 2014-04

Consulting • Healthcare • Marketing

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

• Design, build, and test robust data pipelines that support data collection, transformation, and aggregation operations on cloud platforms (Azure/AWS) • Develop and maintain Infrastructure as Code (IaC) in Python for data operations, ensuring reproducibility and version control across environments • Support, troubleshoot, and resolve issues in existing data pipelines, ensuring minimal disruption to downstream consumers • Implement and optimize data lake architectures using modern platforms such as Databricks and Snowflake • Design, construct, install, test, and maintain scalable data management systems that meet both business and technical requirements • Build and optimize data marts that enable data science analysis and support business intelligence tools • Participate actively in data validation processes to ensure data accuracy, completeness, and consistency • Implement and enforce non-functional requirements including performance optimization, security controls, privacy standards, and GDPR compliance • Recommend and implement improvements to enhance data reliability, quality, and operational efficiency • Work closely with cross-functional teams and external vendors to align on technical requirements and delivery timelines • Integrate emerging data management and software engineering technologies into existing data structures • Develop standardized processes for data mining, data modeling, and data production across projects • Mentor and share technical knowledge with junior team members, fostering a culture of continuous learning • Document architectural decisions, pipeline designs, and operational procedures to enable team scalability

🎯 Requisitos

• Advanced English proficiency (both written and spoken) — mandatory for daily communication with international stakeholders • Previous hands-on experience implementing data lake solutions from scratch using platforms such as Databricks and/or Snowflake • Solid experience designing, building, and testing production-grade data pipelines in complex environments • Strong proficiency in Python for Infrastructure as Code (IaC) and data engineering tasks, including reading and writing data frames in multiple formats • Practical experience with cloud platforms Azure (e.g., Azure Functions) and AWS • Deep understanding of non-functional requirements: performance tuning, security, privacy, and GDPR compliance • Demonstrated ability to self-manage, prioritize work autonomously, and determine next steps without constant client direction • Willingness to continuously learn new technologies and adapt to evolving technical landscapes • Nice to Have: • Experience with PowerBI for data visualization and reporting • Knowledge of unit, integration, and end-to-end (E2E) testing frameworks for data pipelines • Cloud certification (Azure or AWS) • Experience with real-time data streaming technologies such as Kafka, EventHub, or Spark Streaming • Comfort with multiple programming languages and data processing frameworks • Previous experience working in agile, cross-functional teams with distributed stakeholders

🏖️ 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!