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