NIR-YU
201 - 500 employees
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
NIR-YU is a company dedicated to empowering small and medium enterprises (SMEs) by providing tailored nearshore staffing solutions. They focus on strategic recruitment of skilled nearshore professionals, offering cost-plus pricing for transparency and affordability. Their services include staff augmentation, staff leasing, talent acquisition, and employer of record (EoR), aimed at helping SMEs gain access to a skilled workforce from Latin America. By facilitating the hiring of remote talent and ensuring compliance with local regulations, NIR-YU allows businesses to enhance their teams with English-speaking professionals, optimize costs, and focus on growth strategies without the burden of setting up foreign entities.
Data Engineer, Databricks, Fabric
Job not on LinkedIn
🔥 2 minutes ago
🗣️🇪🇸 Spanish Required
Where this job comes from
Posted on NIR-YU's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago
NIR-YU
201 - 500 employees
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
NIR-YU is a company dedicated to empowering small and medium enterprises (SMEs) by providing tailored nearshore staffing solutions. They focus on strategic recruitment of skilled nearshore professionals, offering cost-plus pricing for transparency and affordability. Their services include staff augmentation, staff leasing, talent acquisition, and employer of record (EoR), aimed at helping SMEs gain access to a skilled workforce from Latin America. By facilitating the hiring of remote talent and ensuring compliance with local regulations, NIR-YU allows businesses to enhance their teams with English-speaking professionals, optimize costs, and focus on growth strategies without the burden of setting up foreign entities.
📋 Description
• Build and run production data platforms for clients • Design and build ETL/ELT pipelines in Databricks and Microsoft Fabric • Set up lakehouses using Medallion architecture (Bronze, Silver, Gold) on Delta Lake • Govern data with Unity Catalog, including permissions, lineage, and quality • Automate deployments using CI/CD and infrastructure as code • Gather requirements with clients and other teams • Identify improvements in client platforms that could become new projects
🎯 Requirements
• Hands-on Databricks experience in production • PySpark, Delta Lake, Workflows, and Unity Catalog (catalogs, permissions, and lineage) • Experience with Medallion architecture • Microsoft Fabric experience in production across the full platform • Experience with Lakehouse, OneLake, Data Pipelines, Notebooks, Dataflows Gen2, and Warehouse • Advanced SQL and Python • Current DP-900 or DP-700 certification, with commitment to earn the other within the first 60 days • English B2 or higher and fluent Spanish
Apply Now📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Similar Jobs
🔥 3 hours ago
Data Engineer II maintaining credit-reporting pipelines for Sezzle’s fintech installment-payment platform. Debugging SQL and Python workflows while improving bureau reporting accuracy and reliability.
🕒 Yesterday
Senior Data Engineer architecting scalable pipelines and cloud data platforms for CodeRoad, a technology execution partner. Supporting analytics, modernization, and AI engineering projects for US-based clients.
🕒 Yesterday
Senior Data Engineer building semantic layers, pipelines, governance, and AI-ready data foundations. CodeRoad partners with North American companies on technology execution and modernization.
🕒 2 days ago
Lead Data Engineer building real-time data infrastructure, vector systems, and AI backends for Truelogic’s advertising client. Leading architecture, pipelines, standards, and data engineering mentorship.
🕒 3 days ago
Full-stack engineer building Python and TypeScript data platforms for Chiri's enterprise AI software. Developing APIs, integrations, data pipelines, and AI-powered solutions for clients and internal products.
