Description
1. Analyse solution requirements to determine feasibility of design within time and cost constraints.2. Work with discipline Leads and other engineers to create Module/Unit and Interface specification, implementation, integration and testing of product.
3. Rapidly architect, design, prototype, and implement architectures to tackle the Big Data and Data Science needs
4. Research, experiment, and utilize leading Big Data methodologies, such as HD Insight, Hadoop, Spark, Azure Data Lake, Azure Data Factory and Microsoft Azure PaaS.
5. Architect, implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as Azure, client technology stacks
6. Perform business analytics based on data in Data lake, based on data ingestion from different sources
8. Work as part of an agile team.
9. Node JS or C# skill would be advantageous with some knowledge on Microsoft BOT development.