🛠 Tech Stack

💼 About This Role

You'll design, build, and optimize modern data platforms on cloud and hybrid environments. Your work will directly enable business intelligence and analytics at scale by ensuring reliable, high-performance data pipelines and well-structured analytical models. This role offers a chance to work on complex, large-scale data ecosystems with direct impact on business decision-making.

🎯 What You'll Do

• Design, develop, and maintain data pipelines across cloud and hybrid environments.
• Define and evolve data models supporting analytics and BI consumption needs.
• Implement and optimize data ingestion and transformation processes using AWS, Azure, and Microsoft Fabric.
• Ensure data quality, governance, lineage, and integrity across the data lifecycle.

📋 Requirements

• Strong experience as a Data Engineer with senior-level expertise in data architecture.
• Advanced SQL including query optimization and data modeling.
• Experience with Azure (Microsoft Fabric) and AWS (Glue, Lambda, S3).
• Proficiency in Python for data processing and pipeline development.

✨ Nice to Have

• Experience with GCP, ODI/Teradata.
• Knowledge of data governance tools like Purview.
• Familiarity with Airflow, CI/CD, DataOps, and observability practices.

🎁 Benefits & Perks

• ☁️ Fully remote work model within Brazil.
• 🏗️ Modern cloud data architectures including Lakehouse and Data Lake.
• 🌐 Exposure to multiple cloud ecosystems: AWS, Azure, and potentially GCP.
• 📈 Large-scale data engineering initiatives with real business impact.
• 🧠 Collaborative and technically advanced environment focused on continuous learning.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Initial Screening· 30 min
2. 2Technical Interview· 60 min
3. 3System Design/Architecture· 60 min