Address business problems that are ill defined and shifting where factors affecting the problem are not completely understood.
Develop and implement applications that demonstrate and illustrate the impact of data science on customer operations.
Deliver efficient application by focussing on code quality, following coding standards & conventions
Complete quality aspects of the application by delivering unit / system tests and collaborate with testing teams to resolve issues
Validate output from data analytics and balance this with knowledge and understanding to provide decision support to customers
Implement DevOps for the application release and lifecycle management
Trial and recommend new approaches, techniques and technologies by assessing the impact of the latest technology trends for relevant for big data and predictive analytics.

Key skills and Technical Competencies

Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experience
5+ years of experience at various levels of Software Engineering roles covering end to end Python based application design and delivery
Experienced in MS DevOps methodology using GIT, VSTS and related Azure components
Python, PySpark , SQL, PyCharm
Well versed with SDLC process
Good working knowledge in Azure based solutions
Knowledge of RDBMS – MS SQL Server
Knowledge of Agile practices & processes
Adherence to coding standards & coding conventions

Job Category

Digital

Posting Date

28 Jan 2022; 00:01