Description We are looking for a skilled Data Engineer to design and enhance scalable data solutions that meet diverse business objectives. This role involves collaborating with cross-functional teams to identify data requirements, improve existing pipelines, and ensure efficient data processing. The ideal candidate will bring expertise in server-side development, database management, and software deployment, working in a dynamic and fast-paced environment.
Responsibilities
- Enhance and optimize existing data storage platforms, including relational and NoSQL databases, to improve data accessibility, performance, and persistence
- Apply advanced database techniques such as tuning, indexing, views, and stored procedures to support efficient and reliable data management
- Develop server-side Python services utilizing concurrency patterns such as asynchronous programming and multi-threading, and leveraging libraries such as NumPy and Pandas
- Design, build, and maintain APIs using modern frameworks, with experience across communication protocols including gRPC and socket-based implementations
- Create, manage, and maintain CI/CD pipelines using DevOps and artifact management tools to enable efficient and reliable software delivery
- Design and deploy applications in enterprise Linux environments, ensuring stability, performance, and scalability
- Partner with cross-functional teams to gather requirements and deliver technical solutions aligned with business objectives
- Follow software development lifecycle best practices to ensure high-quality, maintainable, and secure solutions
- Work effectively in iterative, fast-paced development environments while consistently delivering high-quality outcomes on schedule
Requirements Associate's Degree or equivalent experience with 5-7 years of server-side development expertise, or a Bachelor's Degree with 3-5 years of experience.
Advanced proficiency in Python, including libraries such as NumPy and Pandas, and knowledge of concurrency and memory management.
Familiarity with database systems, including Oracle, and experience with tuning, indexing, views, and stored procedures.
Experience with API development, particularly FastAPI, and protocols like gRPC and socket communication.
Proficiency in CI/CD tools such as Azure DevOps and Artifactory.
Strong understanding of software design patterns, including Factory, Facade, and Singleton.
Comfortable working in Red Hat Linux environments, with occasional Unix shell scripting as needed.
Ability to work independently and collaboratively, managing tasks effectively in dynamic settings.
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