Data Engineer

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