Responsible for the design and development of Data Enrichment Layer enhancing the usability of the existing datasets with derived features
Requirements gathering from divisions and modelling the enriched data needs of organization
Validate the data feed to ensure that right data is available on a timely manner
Liaising with Source system teams to complete data integration requirements or issues identified.
Optimization of database architecture in the Enrichment layer for processing and cost optimization
Carrying out R&D to improve the quality and usability of data and to bring in best practices from best-in-class Analytics driven organizations
Responsible for preparing roadmaps for data enrichment
Maintaining the documentation and other assigned tasks
Entry Requirements
Should process a BSc in Data Science / Telecommunications / IT / Computer Science / Engineering / Statistics or other relevant qualification with strong knowledge in Data Engineering Concepts
Advanced Analytics knowledge
Strong Communication Skills (both Verbal and Written)
2-6 years’ experience in Data Science / Data Engineering
Ability to program in Python and SQL, strong background in statistics (descriptive and inferential) and mathematics (calculus/ linear algebra), ability to import, clean and pre-process data
Understanding of basic ML algorithms, prior work experience in a Cloud based environment & strong knowledge in Telecom domain will be an added advantage