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Lead data engineers design and build scalable data pipelines, modern data architectures, and analytics solutions for clients, using distributed storage/compute and TDD practices.
Build and maintain cloud-based data pipelines (ETL/ELT) using Python, SQL, and GCP tools to ingest, transform, and store large datasets for regional analytics and data-science teams.
Build and maintain ETL/ELT data pipelines and cloud data architectures using Python, SQL, and orchestration tools.
Builds full-stack features for an AI-powered knowledge-management platform that turns corporate expertise into SOPs and checklists.
Build and maintain AI/ML data pipelines to power insights and models for a company focused on solving complex problems.
Builds and maintains Azure data pipelines using SQL and Python for agile projects in a collaborative environment.
Builds and maintains Azure-based data pipelines and ETL/ELT workflows using SQL and Python for analytics and reporting.
Build and maintain full-stack web apps using React for the frontend and .NET Core/ASP.NET Core for the backend, with PostgreSQL/MySQL databases and AWS/GCP cloud services.
Designs and builds data pipelines on Google Cloud Platform, integrating GenAI capabilities into data workflows using SQL and data warehousing tools.
Builds and maintains web apps using PHP, Laravel, React, and JavaScript, refactors legacy systems, and integrates APIs for a company ERP in the automotive sector.
Designs and builds data pipelines on Google Cloud Platform, integrating GenAI capabilities into data workflows using SQL and modern data engineering practices.
Builds and maintains full-stack web apps for a global port-logistics company using Angular, Java, Spring Boot, and SQL Server.
Builds and maintains ETL/ELT pipelines and analytics warehouses to deliver governed data insights via SQL, Python, and visualization tools.
Builds, tests, and maintains web applications using AI tools; analyzes business needs into technical solutions while collaborating with cross-functional teams.
Designs and builds scalable GCP data pipelines and integrates GenAI-driven workflows into modern data platforms.
Principal Data Engineer designs and scales large data pipelines for U.S. clients, leading architecture decisions and engineering initiatives in a remote, project-based role.
Builds and maintains full-stack web apps using Node.js/Go, React/Vue, and serverless GCP services in a hybrid role.
Senior data engineer designs and implements ETL pipelines, writes PL/SQL and Python code, and builds reports in Power BI/Qlik for large-scale client projects.
Leads architecture and development of a modular SaaS platform using Node.js and Python, integrating AI modules while guiding a remote team.
Build and maintain data pipelines in AWS to feed a centralized data lake, then create dashboards in Power BI that surface business insights for Ripley Perú’s teams.
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