Data Engineer

Senior Data Engineer

Required Skills & Technologies

Core Programming & Development

1. Python (3.9-3.11) - Primary language; requires solid. Senior proficiency

2. Object-Oriented Programming - Complex class hierarchies, inheritance patterns

3. Multiprocessing & Concurrency - Process management, queues, events, threading

4. Worked with Enterprise software for Automotive

5. Production ETL pipeline experience

6. Automotive/testing industry knowledge

7. Complex distributed system design experience

Data Engineering & ETL

1. ETL/ELT Pipelines - Core focus of the repository

2. Data Processing - Large-scale test bed data ingestion Sympathy for Data - Domain-specific data processing framework (key requirement) File Processing - Multiple formats (.sydata, .h5, various test data formats)

Cloud & Infrastructure

1. Azure Experience

Windows Server - Deployment target environment GitHub Actions - CI/CD pipelines Poetry Database Technologies Oracle Database - SQL - MongoDB Specialized Knowledge Test Bed Systems - Automotive testing domain knowledge Additional Technical Skills Windows-specific: • PowerShell scripting • Windows service deployment Logging & Monitoring, on file system level and to Grafana Network & File Systems: • Network drive mounting • SMB/CIFS protocols • NAS interactions Senior Experience Level Required