高级数据工程师 AWS
Senior Data Engineer AWS
关于我们
Coderio 为全球公司设计和交付可扩展的数字解决方案。我们结合强大的技术专长与产品思维，从头到尾领导复杂的软件项目。我们与国际客户合作，重视自主性和清晰沟通，并通过技术卓越建立长期合作关系。
🌍 更多信息: http://coderio.com
我们正在寻找一名高级数据工程师，负责设计、构建和优化支持大量金融和交易数据的可扩展高性能数据平台。理想的候选人具备 Python、SQL、Apache Spark、AWS 和现代数据工程架构的深厚专业知识，并有在快节奏环境中使用生产级系统的实际经验。
候选人必须仅居住在阿根廷、巴西或乌拉圭。
你将承担的责任（职责）
- 设计、构建和维护高吞吐量、低延迟的批处理和流数据管道，从全球不同来源获取和处理金融交易。
- 设计、扩展和优化能够处理大量结构化和非结构化数据的云数据仓库和湖仓架构。
- 与数据科学家、软件工程师和产品经理合作，了解业务需求并将其转化为可扩展、可靠的数据解决方案。
- 实施并执行数据质量框架、自动化测试、监控和警报，以确保数据完整性、可靠性、高可用性以及符合 SLA。
- 推动 DataOps 实践，包括 CI/CD、工作流自动化和基础设施即代码（IaC）用于数据系统。
- 在数据存储和计算层推广数据治理、隐私和安全标准，包括 GDPR/LGPD 合规性。
- 指导初级和中级数据工程师，促进工程卓越、最佳实践和现代架构模式。
要求
- 5 年以上数据工程、大数据或相关软件工程岗位经验，有在快节奏环境中管理高吞吐量、生产级数据系统的实际成果。
- 精通 Python 和 SQL 进行复杂的数据处理、优化和软件开发；有 Scala 或 Java 经验者优先。
- 有 Apache Spark/PySpark、Delta Lake 和现代湖仓架构的实际操作经验，包括数据网格原则。
- 在 AWS 数据服务方面有较强的专业知识，特别是
查看英文原文
About Us
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
🌍 More information: http://coderio.com
We are looking for a Senior Data Engineer to design, build, and optimize scalable, high-performance data platforms supporting large volumes of financial and transactional data. The ideal candidate has strong expertise in Python, SQL, Apache Spark, AWS, and modern data engineering architectures, with proven experience working with production-grade systems in fast-paced environments.
Candidates must reside exclusively in Argentina, Brazil, or Uruguay.
What You Can Expect (Responsibilities)
- Design, build, and maintain high-throughput, low-latency batch and streaming data pipelines to ingest and process financial transactions from diverse global sources.
- Design, scale, and optimize cloud data warehouse and lakehouse architectures capable of handling massive volumes of structured and unstructured data.
- Collaborate with Data Scientists, Software Engineers, and Product Managers to understand business needs and translate them into scalable, reliable data solutions.
- Implement and enforce data quality frameworks, automated testing, monitoring, and alerting to ensure data integrity, reliability, high availability, and compliance with SLAs.
- Drive the adoption of DataOps practices, including CI/CD, workflow automation, and Infrastructure as Code (IaC) for data systems.
- Champion data governance, privacy, and security standards across data storage and compute layers, including GDPR/LGPD compliance.
- Mentor and guide junior and mid-level Data Engineers, promoting engineering excellence, best practices, and modern architectural patterns.
Requirements
- 5+ years of experience in Data Engineering, Big Data, or related Software Engineering roles, with a proven track record managing high-volume, production-grade data systems in fast-paced environments.
- Strong proficiency in Python and SQL for complex data processing, optimization, and software development; Scala or Java experience is a plus.
- Hands-on experience with Apache Spark/PySpark, Delta Lake, and modern lakehouse architectures, including Data Mesh principles.
- Strong expertise in AWS data services, particularly S3, Glue, Athena, EventBridge, Firehose, and Lambda.
- Solid experience with data orchestration and warehousing technologies, including Apache Airflow or similar DAG-based tools and platforms such as Snowflake, AWS Redshift, or Google BigQuery.
- Experience designing real-time streaming architectures using technologies such as Apache Kafka or AWS Kinesis, as well as familiarity with modern data transformation and modeling tools such as dbt.
- Strong knowledge of DevOps/DataOps practices, including Git, Docker, CI/CD pipelines (GitHub Actions, GitLab CI, or similar), Infrastructure as Code, and cloud platforms such as AWS or GCP.
- Advanced English proficiency is required, with the ability to communicate effectively in English in both technical and non-technical contexts.
Nice to Have
- Previous experience in Fintech, Payments, E-commerce, or other high-growth technology environments, particularly working with financial transactions or highly regulated data.
- Experience with Databricks and advanced cloud lakehouse architectures.
- Knowledge of data privacy, governance, and security frameworks, including GDPR/LGPD, as well as experience implementing secure data platforms.
- Experience with Infrastructure as Code tools such as Terraform, advanced DataOps automation, and mentoring Data Engineers or contributing to technical architecture decisions.
Benefits
- 100% remote
- Long-term commitment, with autonomy and meaningful impact
- Strategic, high-visibility role within a modern engineering culture
- Collaborative international team with strong technical leadership
- Career development and growth opportunities within Coderio
Why join Coderio?
At Coderio, we value talent and excellence. While we are primarily a remote-first company, this specific strategic role offers the opportunity to work directly on-site to drive high-stakes initiatives. We are passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference, we are waiting for you. Apply now.