Be mindful of the scope of the project
Understand clients requirements and its business viabilities.
Determine the gaps between requirements and functionalities and define workable solutions to bridge the gaps
Design the solutions in detail with the help from the consultants and business
Drive architecture and design of in-house IP and customer solutions in the area of engineering analytics
Responsible for analyzing large data sets to develop custom models and algorithms to drive business solutions
Build complex data sets from multiple data sources and build learning systems and algorithms to analyze and filter continuous data flows and offline data analysis
Leading a team of 2-3 members, the person should be able to completely manage Big Data analytics cluster which involves real time dash boards and daily reports.
Able to translate functional and technical requirements into detail design.
Good troubleshooting and application performance tuning experience.
Prepare and produce releases of software components
Plan the closure of the solutions and see through the implementation of the solutions