Senior Data Engineering Analyst

Job Summary We are seeking an experienced Senior Data Engineering Analyst with a strong background in Python software development and data engineering to design, develop, and maintain scalable enterprise data solutions. This role requires a hands‑on engineer with proven experience delivering production‑grade applications and data pipelines . The ideal candidate has successfully designed, deployed, and supported scalable software solutions in live production environments and understands the operational demands of enterprise systems beyond development and proof‑of‑concept work. Responsibilities Design, develop, and maintain scalable Python applications and data engineering solutions. Build, deploy, and support production‑ready data pipelines, APIs, and software applications. Partner with data engineers, data scientists, and business stakeholders to deliver reliable, high‑quality software products. Design and implement frameworks and tools that streamline machine learning workflows. Develop data transformation logic to support analytics and business use cases. Build fault‑tolerant, scalable microservices using modern software architecture and design patterns. Develop and maintain RESTful APIs to support enterprise applications and data services. Monitor, troubleshoot, and optimize production applications for performance, scalability, and reliability. Document code, technical designs, and architectural decisions to ensure maintainability. Follow software engineering best practices, including code reviews, automated testing, CI/CD, and version control. Contribute to continuous improvement of coding standards, documentation, and software quality. Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience). 5+ years of professional experience developing production‑grade Python applications and data engineering solutions. Demonstrated success deploying, supporting, and maintaining enterprise applications and data pipelines in live production environments. Strong experience building and maintaining enterprise data pipelines. Proficiency with Python data engineering libraries including Pandas, NumPy, PyArrow, PyTest, Scikit‑Learn, and Boto3 . Experience developing RESTful APIs and microservices. Solid understanding of object‑oriented programming, functional programming, and software design principles. Experience with distributed computing and large‑scale data processing. Knowledge of DevOps principles, CI/CD pipelines, automated testing, monitoring, and source control. Experience designing modular, reusable, and maintainable software components. Strong analytical, troubleshooting, and communication skills. Preferred Qualifications Experience supporting machine learning or advanced analytics initiatives. Experience with cloud platforms such as AWS or Azure. Familiarity with containerization technologies and distributed computing frameworks. Experience in enterprise environments where application reliability, scalability, and operational support are critical. #J-18808-Ljbffr Resolve Tech Solutions