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Lead a team to build and scale data pipelines using Java and AWS, ensuring robust, high-performance data platforms for enterprise clients.
Builds and maintains full-stack microfrontend and cloud solutions, defining technical architecture for a high-visibility project.
Build and maintain scalable data pipelines on Google Cloud, enabling reliable analytics and modernizing legacy systems with Dataform, Python, and SQL.
Build and maintain web apps using React/Angular/Vue on the frontend and Node.js/Java/.NET/Python/PHP on the backend, with SQL/NoSQL databases and Git.
Build and maintain full-stack web and mobile apps using Java/Spring Boot, Node.js/NestJS, and React/Next.js in an agile team.
Build and maintain scalable data pipelines for LATAM Airlines’ sustainability platform, integrating corporate sources into a reliable, traceable data architecture using GCP tools like BigQuery, Dataflow, and Dataform.
Senior Data Engineer builds and maintains Snowflake and dbt pipelines for a global tax-compliance platform, owning the revenue data chain from billing to financial close and ensuring outputs support finance and AI consumers.
Build and maintain full-stack web apps using TypeScript, REST APIs, and microservices; integrate OAuth2/JWT, Kafka/RabbitMQ, and cloud platforms like AWS/Azure/GCP.
Data Engineer builds and maintains cloud data pipelines on GCP and OCI, using Kubernetes, Docker, GitLab CI/CD, and OAS documentation.
Build and maintain transactional web portals and RESTful APIs for a Chilean insurer using Angular, Node.js, Java/Spring Boot, and MS SQL Server.
Build and maintain scalable data pipelines and infrastructure to support AI-driven services using Python and SQL.
Build and maintain cloud-based ETL pipelines in Python, automating data workflows while collaborating with data science teams.
Data Engineer designs and migrates data pipelines, builds scalable architectures, and works with SQL/NoSQL, Go, Kotlin, Python, Maven, and AWS.
Designs and builds scalable AWS data pipelines in Python and SQL for batch and streaming workloads, integrating AI-ready components.
Builds full-stack web apps using React for the frontend and Java Spring Boot for the backend, integrating Oracle Cloud Infrastructure services and Oracle databases.
Build and optimize AWS-based data pipelines (ETL/ELT) using Glue, S3, Python/PySpark to ingest and transform customer data for analytics and automation.
Design and maintain a Snowflake-based financial data pipeline and dbt models for revenue recognition and close processes, ensuring accuracy for finance teams and AI consumers.
Build and maintain full-stack applications using Java/Spring Boot, Vue/React, PostgreSQL/SQL Server, and Kubernetes, with automated testing and hybrid work in Santiago.
Senior Data Engineer builds and maintains Azure Databricks pipelines in Python to process and transform data for Accenture’s internal tech teams.
Maintains and evolves a company’s ERP system and mobile apps, fixing bugs and adding features across web, mobile, and reporting modules using C#, PHP, JavaScript, and React-Native.
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