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GCP Data Architect & Engineer — Scalable Pipelines (Hybrid)
Designs and builds secure, scalable GCP data pipelines that turn raw data into business insights while ensuring governance and compliance.
AI Data Engineer: Design Scalable Pipelines & AI Apps
Build and optimize scalable ETL pipelines, manage relational databases, and develop AI applications using Langchain and Python in a cloud-native environment.
Big Data Engineer & Analytics Specialist
Builds and optimizes Big Data pipelines and analytics solutions using cloud platforms (AWS/GCP/Azure) and tools like Spark, Kafka, and NoSQL, collaborating with devs, tech leads, and clients to deliver scalable data-driven applications.
GCP Data Engineer/Data Architect
Designs and builds scalable GCP data pipelines and warehouses, focusing on BigQuery, Dataflow, and Data Fusion to enable data-driven decisions and insights.
Founding DevOps & Platform Engineer (Equity)
Build and own cloud infrastructure (AWS/GCP), CI/CD pipelines for backend/mobile/ML, and MLOps foundations for a VC-backed AI startup analyzing road accidents.
Junior Cloud & DevOps Engineer | Hybrid/Smartworking
Junior Cloud & DevOps Engineer maintaining cloud infrastructure, automating deployments, and managing CI/CD pipelines for a product team in Turin.
Principal Data Engineer (GCP)
Leads the design and delivery of a cloud-native data platform on GCP, mentoring engineers and setting standards for scalable, compliant data pipelines and governance.
Devops Cloud Engineer - Gcp / Snowflake
Build and maintain cloud infrastructure for a Latin American fintech, automating GCP–Snowflake pipelines with Terraform, CI/CD, and security best practices.
Sr Java Developer/ 100% Remote in Mexico
Builds and maintains enterprise Java applications using Spring Boot and microservices, designing scalable APIs and event-driven systems with Kafka.
Remote Backend Engineer – Node.js/NestJS
Build and maintain internal systems, APIs, and cloud infrastructure using Node.js/NestJS, TypeScript, and AWS/GCP while collaborating with product and engineering teams.
Backend Developer
Build and maintain scalable backend services using Java/Spring Boot, REST APIs, and cloud-native systems, with occasional exposure to AI-driven features.
Data Engineer – MVA Inference & Audience Development (Remote, Global)
Builds ETL/ELT pipelines and privacy-safe inference layers for marketing audience segmentation using aggregated historical data in cloud data warehouses.
Senior Cloud Engineer: AI/ML, Multi-Cloud & DevOps Leader
Leads cloud architecture and DevOps for AI/ML systems across AWS, GCP, and Azure, using Terraform and Kubernetes to build secure, scalable enterprise solutions.
Full Stack Software Engineer SO IKEA Chile, Colombia y Perú
Builds and maintains full-stack web apps for IKEA using React, TypeScript, Node.js, NestJS, and PostgreSQL, while leveraging generative AI tools to accelerate development and improve customer experiences.
Data Engineer - ETL/ELT & Big Data Specialist
Designs, builds, and maintains ETL/ELT pipelines and data-integration solutions to ensure reliable, high-quality data for analytics and business decisions.
Data engineer
Designs, builds, and maintains data pipelines and ETL/ELT processes to integrate, clean, and store data for analytics and decision-making using SQL, Python, and cloud platforms.
Senior Java Developer
A Senior Java Developer builds and maintains scalable backend services using Java 17, Spring, and MySQL, while integrating with React-based frontends in a headless architecture. They manage cloud deployments (AWS/Azure/GCP), CI/CD pipelines, and Docker containerization to support ecommerce platforms.
DevOps Team Lead
Lead a DevOps team to architect, scale, and secure Cyera’s AI-driven cloud-native SaaS platform across AWS, Azure, and GCP using Kubernetes, Terraform, and CI/CD pipelines.
Data Engineering and Science Platformer (entry level)
Build and maintain data pipelines and analytics platforms in Python and SQL on Google Cloud to power data-driven marketing campaigns for global brands.
Consultant Data Engineer
Build and optimize high-performance data platforms for financial clients using ClickHouse, Python, and cloud-native tools; design scalable pipelines and time-series solutions.