Job Description :
1. Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time
2. Create metrics and apply business logic using Spark, Scala, R, Python, and/or Java
3. Model, design, develop, code, test, debug, document and deploy application to production through standard processes
4. Harmonize, transform, and move data from a raw format to consumable, curated views
5. Analyze, design, develop, and test applications
6. Contribute to the maturation of Data Engineering practices, which may include providing training and mentoring to others