Senior Data Engineer

Education

• First degree in any discipline preferably Software Engineering, Information Systems, Computer Science, Statistics or equivalent
  

• Master’s Degree in a relevant discipline will be an added advantage.
  

Experience:

• 3+ years of work experience in Software Development and Data Science related projects in large organization.
  

• Knowledge in cloud computing technologies
  

• Worked across diverse cultures and geographies advantageous.
  

• Detailed working experience of data governance and standards.
  

• Drive business engagement with leaders (include BI teams) to support and implement high-quality, data-driven decisions.
  

• Building automated reports and advanced analytics solutions based on multiple data sources
  

• Implement advanced ETL and analytics use-case development/ deployment like end-to-end machine learning models
  

• Develop, test and maintain data pipelines that are scalable, repeatable, and secure and can serve business needs of the organization
  

• Create a “Model Factory” for Data Science Models and Algorithms to ensure governance.
  

• Identify useful data and extend advanced analytics use-case development/ deployment like end-to-end machine learning model, advanced analytics, big data visualizations to entire company through BI teams
  

• Prepare long-term evolution plans for data analytics projects developed in-house
  

• Innovate and advance on existing data infrastructure as business use cases continue to emerge
  

• Design and implementation of modern Data APIs for internal and external data access
  

• Automated reporting and Dashboards
  

• Advanced analytics and Machine Learning models
  

• Developing data-marts used for building Credit Scoring models for Micro-lending internally and third-party consumption