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