Job Description / Responsibilities
- Build workflows to ensure data extraction quality and storage into our backend data store
- Architect, build and train ML/AI models that can predict outcomes and report on anomalies.
- Design data pipelines to perform ETL on content/data from multiple types of source systems.
- Create data analytics views using RDBMS/Key-Value stores, on private and public/cloud
- Create software that is well tested, maintainable, extensible and scales out with large data
- 2+ years of software development with Python
- 2+ years of SQL (MySQL/Postgres) and Key-Value databases
- 1+ years of experience with scikit
- 2+ years of experience in data extraction, data transformation using custom Python/Java
- Experience working with MapReduce/Hadoop/kafka/Elastic stack
- Experience with Node backend and React/Redux
- Experience working with git/mercurial, Amazon/Google cloud, Linux/LAMP stack
- Experience in testing or test driven development
- Experience with Data science and Machine Learning algorithm development
- Highly competitive to match experience and capability