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Data Lead role designing, orchestrating, and evolving enterprise-scale data platforms and analytical ecosystems on Databricks and AWS, including CI/CD pipelines, data governance, and observability.
Senior Full-Stack Engineer developing web applications integrating FrontEnd and BackEnd using Azure, ASP.NET, SQL Server, and REST. Hybrid role in Mexico City with 5+ years of experience required.
Develop enterprise Java applications with a focus on microservices on the NOVA internal banking platform, working in complex banking environments alongside multidisciplinary teams.
Lead backend Java development for a brokerage/financial project at INVEX, designing RESTful and SOAP services with Spring Boot, Hibernate, and IBM MQ in Mexico City.
The Principal Full-Stack Developer will lead the technical direction of a global authorization layer and registration portfolio using Java and React. This role involves designing distributed systems, mentoring engineering teams, and ensuring security and scalability across mission-critical applications.
Full Stack Developer building and maintaining supply chain and warehouse management systems using Java, React, AWS, and Kafka, focusing on scalable cloud-based solutions.
Senior Software Developer at DFX5 designing, building, and shipping full-stack software solutions for large Latin American enterprises using Java/C#/.NET/Python/Node.js/Go/React/Angular, AWS, and CI/CD pipelines in a hybrid Mexico City role.
Design and build AWS-based data architectures—S3 data lakes, Glue ETL pipelines, Redshift/Snowflake/Databricks warehouses, and RAG-powered AI systems—across diverse client engagements, with mentoring and architecture presentation responsibilities.
Senior Geospatial Data Engineer designing and maintaining scalable cloud-based geospatial data pipelines and ETL processes for the Xtrack rail-industry product, using Python, big data technologies (Spark, Kafka), and cloud platforms (GCP/AWS/Azure).
Job Description: We’re KSM, one of the top 50 largest independent advisory, tax, and audit firms in the United States. But more than our size, it’s our people and culture that set us apart. We believe great things…
Senior Full-Stack Developer building enterprise-scale web applications with React and Java 21/Spring Boot, including RESTful APIs, microservices, and production support in an Agile environment.
The Frontend Developer will design, develop, and maintain scalable, high-performance web applications for Walmart in an enterprise environment.
Data Engineer building Snowflake data platforms and Python-based ETL pipelines to transform telemetry and log data into trusted insights for a large IT services company.
Build and maintain applications on Google Cloud Platform using Python and Vue.js, integrating APIs and microservices in an Agile IT consultancy environment.
Junior Data Engineer designing and developing data pipelines and AI agent solutions on Google Cloud Platform using Python, SQL, and LLMs for a cybersecurity consulting group.
Senior Big Data Engineer specializing in Databricks, designing Lakehouse architectures, optimizing ETL/ELT pipelines, and providing technical leadership within a digital services consultancy focused on SAP.
Senior Full Stack Engineer building digital banking solutions for a private banking/wealth management project using Java/Spring Boot backend and React/TypeScript frontend in an Agile, DevOps-oriented team.
Full-stack developer (strongly backend-focused with Java/Spring) designing, developing and maintaining enterprise applications using Java 17/21, Spring Boot, REST APIs, microservices, Docker/Kubernetes, and Angular/React/Vue.js for occasional frontend work.
Design and implement a metadata-driven automation engine for a Raw Data Vault 2.0 architecture at NTT DATA, building reusable mechanisms to auto-generate Hubs/Links/Satellites, detect schema evolution, and govern controlled data model changes using advanced SQL.
Senior Data Engineer designing and optimizing data ingestion, transformation, and orchestration pipelines using Apache Spark, Databricks, MongoDB, Delta Lake, Airflow, and Azure Data Factory on cloud environments.
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