Data Engineer II

1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.

2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.

3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.

4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations