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Job Description
Our client is seeking a highly skilled Senior Data Engineer to support advanced data processing and engineering initiatives within an enterprise automotive environment. The role focuses on designing and optimizing robust data pipelines, handling large-scale test data, and contributing to distributed system architectures.
The ideal candidate will bring strong expertise in Python-based development, data engineering practices, and cloud infrastructure, along with experience working in complex, production-grade environments.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines for large-scale data processing
- Manage ingestion and transformation of high-volume test bed data across multiple formats
- Build and optimize distributed data processing systems with a focus on performance and reliability
- Implement object-oriented solutions using advanced programming patterns and concurrency techniques
- Collaborate with cross-functional teams to support data-driven applications and workflows
- Deploy and manage applications within Windows Server environments
- Develop and maintain CI/CD pipelines using tools such as GitHub Actions
- Monitor system performance and implement logging solutions, including integrations with monitoring tools like Grafana
- Handle file system operations, including network drive configurations and NAS interactions
- Ensure efficient database integration and management across Oracle, SQL, and MongoDB systems
Required Experience
- Senior-level experience in data engineering or related roles
- Strong hands-on experience with production-grade ETL pipeline development
- Proven expertise in designing distributed systems and handling large-scale data processing
- Experience working in enterprise environments, preferably within the automotive or testing domain
- Solid understanding of concurrency, multiprocessing, and performance optimization techniques
- Familiarity with Windows-based deployment and system environments
Skills Required
- Advanced proficiency in Python (3.9–3.11)
- Strong knowledge of Object-Oriented Programming principles
- Experience with ETL/ELT pipelines and large-scale data ingestion
- Proficiency in SQL and database technologies including Oracle and MongoDB
- Hands-on experience with Microsoft Azure
- Familiarity with CI/CD practices and tools (e.g., GitHub Actions)
- Knowledge of file processing across multiple data formats
- Experience with PowerShell scripting and Windows service deployment
Preferred / Additional Skills
- Experience with domain-specific data frameworks (e.g., Sympathy for Data)
- Knowledge of automotive test bed systems and related workflows
- Understanding of network file systems (SMB/CIFS, NAS)
- Experience with logging and monitoring solutions at file system and infrastructure level
Education
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
Language Requirement
- English – Professional Proficiency
Application Method: Interested candidates can apply by sending their profile to [email protected]