Key Responsibilities
- Design, build, and maintain robust data pipelines for large-scale, distributed systems
- Develop and support backend services for high-throughput, data-intensive applications
- Optimize and manage SQL queries across both traditional RDBMS and modern lakehouse architectures
- Collaborate with engineering teams to deploy scalable services using Docker and CI/CD pipelines
- Monitor, troubleshoot, and improve data workflows to ensure reliability and performance
- Contribute to infrastructure automation and deployment processes
- Work independently to solve technical challenges while maintaining clear communication with stakeholders
Required Qualifications
- 3+ years of experience in infrastructure and software engineering with exposure to data engineering
- Strong proficiency in SQL across relational databases and lakehouse environments
- Experience building and supporting backend services in distributed systems
- Hands-on experience with CI/CD pipelines (e.g., GitHub, Jenkins) and containerization (Docker)
- Proficiency in Python, C#, Kafka, shell scripting, and Linux/Unix systems
- Proven ability to work independently and proactively in a remote environment
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Mid-Level