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Senior Data Analyst at DiDi troubleshoots large-scale data systems, optimizes pipelines, and performs root-cause analysis across BI, ETL, and infrastructure to ensure reliability and performance.
Senior Data Engineer designs and builds data pipelines and warehouses for analytics solutions using cloud platforms like AWS, Azure, or GCP and tools like HANA, SAC, or Snowflake.
Build and scale an AI-driven product catalog platform, owning backend services, APIs, and frontend apps with 7+ years of full-stack experience.
Build and maintain cloud-based data pipelines using Databricks, PySpark, and Azure Synapse to feed AI forecasting models for a finance client.
Senior engineer builds and scales full-stack apps using Node.js, React, and TypeScript, and designs AWS serverless systems while mentoring peers.
Build and scale data-driven microservices using Java, Spring Boot, React, and AWS while collaborating with product teams on innovative solutions.
Build and maintain Azure-based data pipelines and warehouses using T-SQL, Synapse, Data Factory, and Databricks to deliver clean, reliable data for analytics and modeling.
Lead a team integrating AI into modern applications using Python, Node.js, and React, ensuring engineering excellence and code quality.
Build and optimize scalable data pipelines for a Latin American fintech marketplace, using Azure Data Factory, Databricks, and Data Lake Storage to feed analytics and decision-making.
Build a cloud-based life-insurance platform using modern full-stack tools; design and maintain both front-end and back-end systems.
Designs and builds scalable ETL/ELT pipelines and data warehouses on Azure Synapse, Fabric, and Databricks, optimizing SQL queries and Medallion architectures for HR analytics.
Build and maintain scalable data pipelines in Databricks to support analytics, refactor legacy code, and design modular components for Journey Analytics datasets.
Build full-stack applications in Python, craft reusable UI components, and integrate databases to support AI-driven growth tools for GTM and product teams.
Designs and builds .NET/C# software for MES, IoT, and Industry 4.0 systems, integrating with SQL and Azure to support manufacturing workflows.
Architect and build a modern Lakehouse on Azure + Databricks for a Fortune 100 multinational, designing scalable data pipelines and enabling analytics and ML across the enterprise.
Lead AI adoption and build end-to-end full-stack solutions in a Mexico-based remote role, designing scalable architectures with Node/React or Python/React while collaborating with Product, Design, and Data teams.
Senior Java Full-Stack Engineer building enterprise applications with Java, Spring Boot, and React in a hybrid role based in CDMX.
Data Engineer wrangles and transforms raw data into clean, usable formats using SQL, databases, and tools like Tableau Prep or Dataiku for analysis and reporting.
Builds and maintains full-stack Java/Vue.js apps, writing backend services in Java 21 and crafting responsive frontends with Vue.js, while collaborating in Agile teams.
Builds and maintains Java/Spring Boot microservices for logistics systems, focusing on software design, SQL optimization, and high coding standards.
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