- To take data throughout its lifecycle – acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization
- Creating the pipeline for data processing, data visualization, and analytics products, including automated services, and APIs
- Streamlining and automating data acquisition and possess a highly structured approach to problem solving
- Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
- Contribute to solution design and build to ensure scalability, performance and reuse of data and other components
- End-to-end data handling, management and analytics processes
- Entry Level Data Engineer