Senior Data Engineer (Node.Js / Typescript)

Senior Data Engineer (Node.

Js / Typescript) - Detalhes da Vaga. ● Js / TypeScript)Location: Remote BrazilJob DescriptionWe are seeking a Senior Data Engineer with strong Node. ●Js and TypeScript expertise to build scalable backend systems and data services. ● The ideal candidate will have recent hands-on experience with Node. ●Js, strong database expertise in MongoDB and SQL, and experience building high-performance APIs. ●This role focuses on designing and developing scalable backend services that support high-volume data processing and integration across digital platforms. ● Experience with GraphQL is preferred but not mandatory. ●Key Responsibilities- Design, develop, and maintain scalable backend services using Node. ●Js and TypeScript. ●- Build and optimize REST/GraphQL APIs for high-performance data access and integration. ●- Develop and maintain data models and database schemas across MongoDB and SQL databases. ●- Implement scalable data ingestion and processing pipelines. ●- Work with distributed systems in a cloud-based environment. ●- Ensure performance optimization, reliability, and scalability of backend services. ●- Collaborate with cross-functional teams including product, architecture, and engineering. ●- Participate in Agile/Scrum ceremonies such as sprint planning, stand-ups, and retrospectives. ●- Follow DevOps best practices, including CI/CD, testing, and monitoring. ●Required Skills- 5+ years of experience in backend engineering or data engineering. ●- Strong recent hands-on experience with Node. ●Js. ●- Proficiency in TypeScript and JavaScript. ●- Strong experience with MongoDB and SQL databases. ●- Experience building REST APIs or GraphQL APIs. ●- Solid understanding of data modeling and database design. ●- Experience working in cloud environments (AWS preferred). ●- Familiarity with CI/CD pipelines, testing frameworks, and modern development practices. ●Nice to Have- Experience with GraphQL architecture or schema design. ●- Experience with distributed systems and high transaction platforms. ●- Knowledge of ETL pipelines and data processing frameworks. ●- Experience working in digital media, sports, or high-scale consumer platforms. ●Education- Bachelors degree in Computer Science, Engineering, or related field, or equivalent practical experience. ●.

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