The Team:  We are looking for a highly motivated, enthusiastic, and skilled software engineer for Sustainable1. This developer would help us to accelerate our ESG Analytics work.

The Impact: As a developer, you will be part of a development team that manages and supports the internal applications that is supporting ESG datasets. This role expects a candidate to handle any data processing, big data application development.

Responsibilities :

• Complete SDLC: Design, development and support of tech solutions
• Active participation in all scrum ceremonies, follow AGILE best practices effectively.
• Play a developer role in the team to build high-quality, high-performance, scalable code
• Work with a skilled team while shaping the future of our products.
• Build a next generation UI financial product that consumers can rely on in order to take their financial decisions.
• Opportunity to work on next generation real-time streaming data product from backend perspective.
• Expand experience with modern cutting-edge technologies like Streaming technologies, Dev Ops, and cloud technologies.
• Document and demonstrate solutions using Technical design docs, diagrams and stubbed code
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What We’re Looking For:

Basic Qualifications:

• C#, ASP.Net, SQL Server, JavaScript frameworks (JQuery, Require.js, typescript, React.js)
• Experience with software development lifecycle (SDLC) methodologies like Agile, Test-driven development
• Familiarity with frameworks such as ReactJS, Durandaljs, Knockoutjs, and Bootstrap.js
• Good experience with developing solutions involving relational database technologies on SQL Server platform, stored procedure programming experience using Transact SQL.
• Bachelor's degree in Computer Science, Information Systems or Engineering is required
• An interest to work as Full STACK application development.
• Superior knowledge of system architecture, object-oriented design, and design patterns.
• Proficient with software development lifecycle (SDLC) methodologies like Agile, Test-driven development.

Additional Preferred Qualifications:

• Knowledge of Big Data, Spark, AWS
• Knowledge of SAFe/Agile Framework
• Excellent Analytical and communication skills are essential, with strong verbal and writing proficiencies