Engineer, Software Engineering (C#, Cloud technologies,AWS,Azure,GCP)

S&P Global Market Intelligence

3 - 6 years

12 - 17 Lacs

hyderabad

Posted:2 days ago| Platform:

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Skills Required

aws s3 c restful supply chain cloud development cloud technologies sql server retail sql cloud workforce planning gcp recruitment compliance quality assurance scrum http json software engineering agile https azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

The Role: As part of the team, you will design, plan, implement, test, and maintain multiple product features related to the backend management of client provided data. This will include collaborating with Database Engineers, other development teams, product designers, and Quality Assurance.

Responsibilities and Impact:

Architect, design, and implement software-related projects, focusing on backend management of client-provided data.
Collaborate with Database Engineers, development teams, product designers, and Quality Assurance to integrate applications on the CIQ platform.
Perform analyses and articulate solutions to improve portfolio analytics and customer experience.
Design underlying engineering for multiple product offerings supporting a large volume of end users.
Develop project plans with task breakdowns and estimates, managing and improving existing solutions.
Solve complex problems and determine possible solutions, weighing the costs and benefits.

Basic Required Qualifications:

B.S. in Computer Science or equivalent.
3-6 years of hands-on object-oriented C# design and development experience, producing high-quality products.
Cloud development experience (AWS, Azure, GCP)

Additional Preferred Qualifications:

AWS development experience using Lambdas, DynamoDB, S3, FSx, etc.
Experience with Microsoft SQL Server or an equivalent RDBMS.
Familiarity with IIS, Web Services (WCF, RESTful JSON), and Windows Services
Experience with Continuous Integration, Automated Integration Testing, Unit Tests, and Agile/Scrum methodologies.
Prior exposure to financial data

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