RPA Developer - Transition Jobs in Bangalore - NTT DATA
RPA Developer - Transition
NTT DATA
Expired
Posted: 10 Oct 19
Job Description
RPA Developer - Transition
Location: Bangalore, KA, IN
Req ID: 64171
Role :
- Help train or support the training of RPA CoE best practices, standards, framework to other Synchrony Agile teams participating in Bot development
- Participate with Agile teams in analyzing, or lead analysis of, process automation requirements and design robotic process automation solutions, architecture and logic
- Configure and test, or lead the configuration and testing of, automated processes prior to deployment into client environments
- Develop and assure documentation according to company standards, best practices and standard operating procedures
- Support, debug, and break fix any issues with Bots as part of RPA CoE.
- Perform other duties and/or special projects as assigned
- Client facing communication skills and desire to work within a team
Qualifications:
- Should have good experience in RPA
- Strong working skills in RPA Tools(any one -UiPath, Blue Prism or Automation Anywhere)
- Strong programming skills in ASP.NET, HTML, C#, CSS, Javascript, Webservice, WebAPI
- Demonstrated experience working with databases (SQL Server, Oracle,) and developing database-driven .NET applications.
- Ability to write, troubleshoot, and optimize queries and stored procedures
- Knowledge of data structures and understanding of database transactions
Job Particulars
Role it software engineer
Education Any Graduate
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeFull Time
Job Id720848
Job Category IT/Software
Locality Address
State Karnataka
Country India
About Company
NTT DATA started developing a large-scale and high-speed traffic simulation technology using big data. In 2014, in Jilin City in China, a demonstration experiment was conducted for alleviating traffic congestion with the use of traffic simulations based on GPS data. The solution is now being developed further in Exeter, in the UK, by building traffic simulation and traffic signal control technology into an end-to-end congestion management service, with the aim of deploying this Smart City service more cities worldwide.
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