Use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements. Before initiating any work on the database, obtain data from the right sources. After formulating a set of dataset processes, store the optimized data. Research in the industry to address any issues that can arise while tackling a business problem. Dive into data and pinpoint tasks where manual participation can be eliminated with automation. Experience with SSIS, ADLS. Experience with any standard ERP would be an add-on.
As a Data Engineer the candidate will be required to develop analytical solutions and production ready models that solve real business problems while taking in account business needs and technology/operations landscape.