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Data Science Cloud Application Engineer
Hyderabad, Telangana, India · 全职
抢先申请
- 经验
- 6-10岁
- 薪水
- —
- 职位空缺
- 1
- 发布
- 1 小时前
- 工作模式
- 在办公室
- 学历
- B.Tech / B.E. in Any Specialization
- 合格
- Candidates with a B.Tech or B.E. in any specialization may apply.
- 恢复
- 需要申请
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职位描述
Role Overview
Tata Consultancy Services is looking for a Data Science Cloud Application Engineer to contribute to the design, development, enhancement, and long-term support of software applications built with Python and contemporary cloud platforms.
What You’ll Do
- Build, improve, and maintain software applications across their lifecycle, with a focus on Python-based development.
- Create and support REST APIs, backend components, and application services using modern Python frameworks.
- Work across frontend, backend, and API layers to deliver complete end-to-end functionality.
- Develop cloud-native solutions that are designed to be scalable, dependable, and efficient.
- Integrate applications with enterprise systems, internal tools, APIs, databases, message queues, storage layers, compute services, and data pipelines.
- Apply modern architectural approaches such as microservices and event-driven design where appropriate.
Technical Requirements
- 6 to 10 years of hands-on experience in software application design, development, enhancement, and maintenance.
- Strong practical knowledge of Python programming and backend service development.
- Solid experience building REST APIs.
- Working experience with frameworks such as FastAPI, Flask, or Django.
- Deep understanding of cloud-native architecture and services across GCP, AWS, Azure, or the Salesforce ecosystem.
- Familiarity with core cloud capabilities including compute, storage, integration, networking, security, and managed services.
- Ability to deliver high-performance applications using modern frameworks and cloud technologies.
Eligibility
This position is open to candidates holding a B.Tech or B.E. degree in any specialization.
Additional Information
The source listing does not specify stipend, salary, perks, number of openings, start date, or application deadline.