Full Stack Engineer AWS in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 2 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Full Stack Engineer, a typical day involves designing and building comprehensive system features that span from the user interface to the backend infrastructure. This role requires actively engaging in the entire development lifecycle, ensuring seamless integration and functionality. The engineer collaborates with various teams to deliver innovative solutions that enhance client services, while embracing a cloud-first approach and agile methodologies to address complex business challenges effectively.
Roles & Responsibilities:
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to ensure alignment of project goals and deliverables.
Continuously evaluate and implement improvements to enhance system performance and user experience.
Assist junior team members by sharing knowledge and providing guidance to support their professional growth.
Professional & Technical Skills:
Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Aws Integration services.
Experience with cloud-based development environments and agile software development practices.
Strong understanding of full stack development principles including frontend and backend integration.
Ability to design scalable and maintainable code that meets business requirements.
Familiarity with data processing and analytics workflows within modern data platforms.
Additional Information:
The candidate should have minimum 2 years of experience in Databricks Unified Data Analytics Platform.
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