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[Job-31488] 高级数据开发工程师,巴西

[Job-31488] Senior Data Developer, Brazil

开发工程限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司CI&T
薪资未公开
工作地点Brazil
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型Full Time
发布时间21 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →
注意地域限制:该职位明确限定在 Brazil 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

在CI&T,我们帮助大型企业将AI的潜力转化为实际的业务影响,通过AI部署、AI原生执行以及技术整合的业务解决方案。
拥有30年的技术转型经验,我们在代理式SDLC、应用现代化、数据与AI、营销技术及商业战略方面具备专业知识,加速创新。
我们是遍布25个国家的8000名CI&T成员,协作打造具有实际影响的解决方案。AI已经是我们日常工作、发展和创新的一部分。
随着CI&T的成长,我们正在寻找一位有才华、有动力且经验丰富的数据工程师加入我们的团队,为客户构建稳健的数据驱动解决方案。这一角色在设计、开发和维护可扩展的数据基础设施和管道方面至关重要,使我们的数据项目得以蓬勃发展。
数据开发人员将负责实施和优化数据架构,确保数据质量和可靠性,并与分析和业务团队紧密合作,提供高性能的数据解决方案。该职位需要强大的数据工程、云平台和现代数据栈技术方面的技术专长,同时能够将业务需求转化为有效的技术解决方案。
职责:

  • 数据管道开发:构建、优化并维护可扩展的数据管道和ETL/ELT流程,以支持分析和商业智能需求。
  • 数据架构实施:实施数据架构,包括数据湖、数据仓库和集成层,以支持组织的数据战略。
  • 数据质量与治理:实施数据质量检查、验证流程和监控系统,以确保数据的准确性、一致性和可靠性。
  • 集成与API开发:开发和维护不同数据源、第三方工具和分析平台之间的集成。
  • 协作:与数据与分析经理、数据科学家和业务利益相关者紧密合作,了解需求并交付能够实现数据驱动决策的技术解决方案。
  • 性能优化:监控并优化数据管道性能、查询效率和存储成本,以确保可扩展且成本效益高的解决方案。
  • 文档:创建并维护数据架构、管道和流程的全面技术文档。
  • 数据安全:实施安全最佳实践并确保合规性。
查看英文原文

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
As CI&T grows, we seek a talented, motivated, and experienced Data Engineer to join our team and build robust data-driven solutions for our customers. This role is pivotal in designing, developing, and maintaining scalable data infrastructure and pipelines that enable our data initiatives to thrive.
The Data Developer will be responsible for implementing and optimizing data architectures, ensuring data quality and reliability, and collaborating closely with analytics and business teams to deliver high-performance data solutions. This position requires strong technical expertise in data engineering, cloud platforms, and modern data stack technologies, combined with the ability to translate business requirements into effective technical solutions.
Responsibilities:

  • Data Pipeline Development: Build, optimize, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence needs.
  • Data Architecture Implementation: implement data architectures, including data lakes, warehouses, and integration layers that support the organization's data strategy.
  • Data Quality & Governance: Implement data quality checks, validation processes, and monitoring systems to ensure data accuracy, consistency, and reliability.
  • Integration & API Development: Develop and maintain integrations between various data sources, third-party tools, and analytics platforms.
  • Collaboration: Work closely with Data & Analytics Managers, data scientists, and business stakeholders to understand requirements and deliver technical solutions that enable data-driven decision making.
  • Performance Optimization: Monitor and optimize data pipeline performance, query efficiency, and storage costs to ensure scalable and cost-effective solutions.
  • Documentation: Create and maintain comprehensive technical documentation for data architectures, pipelines, and processes.
  • Data Security: Implement security best practices and ensure compliance with data privacy regulations across all data systems.
  • Powered by AI: Leverage AI tools and automation to enhance data engineering workflows and productivity.

Requirements:

  • Experience with major Cloud Platform providers (Azure, AWS, or GCP)
  • Experience with data platforms Databricks or Snowflake
  • Good level of English B2 or above
  • Experience working with international clients
  • Strong experience with data pipeline development and ETL/ELT processes
  • Proficiency with data warehousing solutions (BigQuery, Snowflake, Redshift, or similar)
  • Experience with SQL and at least one programming language (Python, Scala, or Java)
  • Understanding of data modeling and database design principles

Nice to Have:

  • Experience with modern data stack tools (dbt, Airflow, Fivetran, Stitch, etc.)
  • Experience with streaming data platforms (Kafka, Pub/Sub, Kinesis)
  • Certifications in cloud platforms or data engineering
  • Spanish communication (reading, writing, and speaking is mandatory)

Our benefits:
-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!
More details about our benefits here:
At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.
Originally posted on Himalayas

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