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Build and optimize full-stack cloud applications using Java and C# within an Agile team at a global data engineering company.
Senior Data Engineer to design, build, and optimize data pipelines and warehouses, migrating 1,000 pipelines to Snowflake using Talend, Active Batch, Docker, and GitHub.
Build and maintain full-stack applications in a product engineering team, using modern frameworks and agile practices to drive digital transformation.
Builds scalable cloud and full-stack applications in a hybrid setting, collaborating with engineers to deliver high-quality software solutions.
Designs and builds ETL/ELT pipelines with Oracle Data Integrator to move and transform data from multiple sources into Oracle databases.
Builds enterprise Java Spring Boot microservices and Vue.js frontends in Bogotá, focusing on cloud-native development and AI-assisted practices.
Builds AI-powered web apps with TypeScript, React, Next.js and Supabase, integrating AI agents into full-stack features.
Builds enterprise microservices with Java/Spring Boot backend and Vue.js frontend in an agile team.
Builds and maintains data pipelines on Azure to support banking systems using SQL, Python, and cloud services.
Build and maintain backend apps, APIs, and data pipelines using Node.js/TypeScript/Python, SQL, NoSQL, and BI tools like Power BI.
Designs and optimizes ETL pipelines in Azure Synapse using PySpark, ensuring scalable data integration and governance for analytics and reporting.
Senior Data Engineer builds and maintains real-time data pipelines and ingestion systems for a healthcare app, using Python, AWS streaming, and Snowflake.
Lead a team to architect and build scalable digital products using React, TypeScript, and Node.js while mentoring engineers and setting technical direction.
Lead AWS Data Engineer designs cloud-native data architectures and migrates legacy systems to AWS for global clients.
Design and validate datasets for analytics and ML, build data-prep workflows, and ensure data quality using SQL and Python.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure data quality for enterprise clients.
Build and maintain a Python/React-based HR-tech platform that integrates AI and third-party tools for streamlined hiring workflows.
Build and maintain scalable cloud data pipelines and warehouses on Azure, enabling advanced analytics and AI solutions for enterprise clients.
Build and maintain APIs, integrate data pipelines, and create BI dashboards using SQL, NoSQL, and tools like Power BI or Tableau.
Design and build scalable data platforms, data lakes, and pipelines for enterprise clients using SQL, PySpark, and cloud services like Azure/AWS/GCP.
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