Link-Worldwide is seeking a Business Analyst I to analyze data for plant management at their facility in Valle de Chalco Solidaridad, Estado de México. The role involves leading continuous improvement initiatives, optimizing data processing, and participating in digitization efforts
TRM Labs is seeking a Senior Software Engineer for its Data Platform team to build scalable data infrastructure. You will focus on executing systems that analyze blockchain transaction activity and enhancing financial security globally.Candidates should have 5+ years
#ZCCZurich Capability Center is currently hiring a:Responsibilities- Design, build, and maintain scalable data pipelines using Databricks and cloud-based data platforms. - Develop, optimize, and automate ETL/ELT processes to support analytics, reporting, and machine learning initiatives. - Work closely
Link-Worldwide is seeking a Full Stack Engineer responsible for developing and maintaining applications on the GCDR platform. This role involves working with Apache Spark for data processing and collaborating in an Agile environment.The ideal candidate will have strong
Job SummaryThe Data Operations Associate is responsible for reviewing, validating, and manually entering customer orders into internal systems with a high level of accuracy.This role ensures that all order information is complete, accurate, and compliant with company
Link-Worldwide is looking for a data engineer to design and maintain ETL pipelines while utilizing Apache Airflow for workflow orchestration.The role will involve building and optimizing data pipelines on Azure and GCP, along with writing Python scripts for
Logistics Specialist (Material Planning) Jr.Location Tlajomulco, JaliscoFORVIA HELLA is a listed international automotive supplier. As a company of the FORVIA Group, FORVIA HELLA stands for high-performance lighting technology and vehicle electronics and, with the Lifecycle Solutions
About the ML Engineer role: You are an expert at finding patterns and explaining insights from application & event data using supervised and unsupervised ML approaches to customers. These usage pattern cohorts are the lynchpin of increasing