Data Engineer

Looking for a Data Engineer who thinks like a Software Engineer and has experience building scalable distributed data platforms, not just traditional ETL pipelines. If you know someone who enjoys solving complex data engineering challenges at scale, we'd love to connect!

Mandatory Skills:

• Python
• PySpark
• Apache Airflow
• Distributed Systems & Parallel Processing
• Software Architecture & System Design
• OOAD (Object-Oriented Analysis & Design)
• SOLID Principles & Design Patterns
• Data Lake / Lakehouse Architecture
• CI/CD, Unit Testing & Automation
• Performance Optimization & Reliability Engineering
• Cloud-based Data Platforms

Ideal Profile:

• 5+ years in Data Engineering, Platform Engineering, or Software Engineering
• Experience building reusable frameworks, platform services, and large-scale data processing applications
• Strong focus on scalability, maintainability, observability, and operational excellence
• Experience with Apache Iceberg, Docker/Kubernetes, and modern data platforms is a plus