Posted by Shell began operations in India more than 80 years ago. At Shell India, we invest in our people through our industry-leading development programmes, which see our employees, thrive and gain access to experts on a local and global level. To date, we have invested more than US$ 1 billion already in India’s energy sector alone, in socially and environmentally responsible ways. Shell is the only global major to have a fuel retail license in India.
IT Engg-Data Engineer
Job Description:
•The Data engineer is responsible for initiating, development & delivery of analytic solutions in an agile fashion to the business to provide insights & improvement to business processes.
•Engage directly with customers/Senior team members to design, develop and deploy AI enterprise applications on the C3 Platform.
•Become an expert in application design and development on the C3 Platform.
•Perform enhancement, testing and troubleshooting of applications based on the business needs.
•Continuously identify technical risks and gaps; devise mitigation strategies in anticipation of customer needs.
•Understanding of the Business requirements, documentation and user guides for customer applications.
•Integrating data models to Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.
•Collaborating with data, subject matter experts from C3 and its customer teams to seek, understand, validate, interpret and correctly use new data elements.
•Bachelor or master’s degree in information technology, computer science, business administration or a related discipline would be considered a strong benefit.
•Certified Hacker rank test in C3 data engineering space value added advantage.
•Skilled in Java script programming, React JS and experience in web markup, including HTML5 and CSS3.
•knowledge in Angular JS and Node.Js
•Experience with prototyping languages such as Python and R will be added advantage.
•Also, formal training in SCRUM and other Agile techniques would be a distinct advantage.
•Knowledge in building and deploying AI-based enterprise applications
•Solid understanding of common Machine Learning techniques, applications.
•Domain expertise in one or more of the following industries: Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, Telecommunications