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Build and maintain a SaaS HR platform using NestJS, React, PostgreSQL, and AWS; write tests, review peers’ code, and ship features end-to-end.
Builds production-ready AI applications and agents for financial services, integrating LLMs and APIs into enterprise workflows while ensuring compliance and performance.
Builds AI-powered features and agent-based systems for financial services, integrating LLMs and APIs into production applications while ensuring compliance and performance.
Designs and maintains scalable cloud data pipelines and warehouses, enabling analytics and ML with tools like Spark, Airflow, and Snowflake.
Designs and maintains scalable data pipelines and cloud-based data solutions to support analytics, reporting, and machine learning initiatives using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Build and scale Python/Django backends for cloud-native products, focusing on low-latency, secure systems and reusable libraries while collaborating with global teams.
Designs intuitive AI interactions by refining conversational UX, trust calibration, and persona alignment to make AI a seamless human partner.
Build and scale fraud prevention for a lending business in Colombia using SQL, Python, and ML models to detect patterns and design antifraud strategies across the customer lifecycle.
Builds and maintains Java-based enterprise software using Spring Boot, Kafka, and REST/webhooks, focusing on high-throughput pipelines and messaging systems.
Build internal web apps in Java (Spring Boot) and TypeScript (React/Angular), deploy with Docker/Kubernetes on Azure, and automate workflows with AI tools.
Build and optimize full-stack web apps for an online retail store using PHP, JavaScript, and SQL; collaborate in Agile teams to deliver responsive, high-performance interfaces and APIs.
Build cloud-native apps using C# + Angular, Java + Angular, or Node.js + React, leveraging AI tools and modern architectures in a distributed team.
Build and maintain features for a global fundraising platform using Ruby on Rails, collaborating with product and design teams to deliver clean, tested code and intuitive interfaces.
Senior Data Engineer builds real-time observability, anomaly detection, and automated validation pipelines for device launches using Spark, Python, and SQL.
Build and maintain full-stack web apps using Java, React, and modern APIs for scalable enterprise systems.
Build and maintain scalable data pipelines and cloud-based analytics solutions using Python, SQL, and tools like Databricks and Spark to turn marketing and media data into actionable insights.
Build and evolve a cloud-based life-insurance platform using React, Node.js, and AWS; collaborate in an agile team to deliver production-quality features.
Lead a full-stack team to build and scale a consumer-facing platform using React, Node.js, and graph databases, while mentoring engineers and modernizing a complex codebase.
Designs and builds data pipelines, warehouses, and lakes using Java, Python, Spark, and SQL to move and transform data for analytics and applications.
Designs and builds ETL/ELT pipelines and data lakes, ensuring high-quality data flows using Java, Scala, Python, Spark, and Airflow.
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