Senior Python Data Engineer + API
6 days ago
Job Location: Hyderabad
Start Date: Immediate / ASAP
Key Responsibilities:
• Design, develop, and maintain high-performance applications / pipelines / workflows using Python..
• Write, modify, debug, and maintain software code aligned with functional, non-functional, and technical specifications.
• Ensure development complies with software engineering standards, SDLC methodology, and release processes for scalability, maintainability, and support.
• Integrate multiple data sources (databases, APIs, files) and transform data efficiently.
• Knowledge on API concepts such as REST and interfacing using Python & JS.
• Collaborate with UI developers.
• Implement REST APIs and ensure secure, reliable communication between services.
• Work with SQL to store and retrieve application data.
• Implement best practices for performance, security, and scalability.
• Troubleshoot production issues and provide resolution with root cause analysis.
Experience: 8-10 years would be preferable.
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field with at least 8 + years of software development experience
• Intermediate knowledge on Python libraries (Pandas, NumPy, FastAPI / Flask / Django).
• Data Engineering experience (ETL pipelines, data models, orchestration).
• Knowledge on REST API and integration with any compatible application stack.
• Strong knowledge and working experience of API development using micro-services architecture with SOAP / REST services.
• Good SQL knowledge (Snowflake SQL).
• Experience with version control (Git / GitHub / Bitbucket).
• Experience working with cloud (AWS / Azure).
• Working experience with CI/CD build systems in an agile workflow (GitHub Actions, Jenkins, Azure DevOps).
v Very good communication skills.
v Ability to easily fit into a distributed development team.
v Ability to manage timelines of multiple initiatives.
v Ability to articulate insights from the data and help business teams make decisions
v Able to work with ambiguous requirements, to seek clarity around uncertainty and to manage risks
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