Review contract documents, project specifications, evaluate project risks and ensure technical compliance to Customer’s requirements and Industry Codes and Standards.
Build the data infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL including Google, Microsoft & AWS cloud data/serverless technologies.
Clearly document problem details, troubleshooting actions, and findings, and prepare comprehensive escalation materials for issues requiring further investigation.
DATA PREPARATION & MODELING: Transform raw data into high-quality datasets. Perform feature engineering, model selection, training, validation and hyperparameter tuning.
Execute routine maintenance tasks, such as cleaning and replacing filters, coils, and fans, as well as checking refrigerant levels and electrical connections to enhance system longevity and performance.
Assist in implementing and validating backup and recovery mechanisms within AWS (e.g. AWS Backup, snapshot strategies), including periodic restore testing and retention compliance.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
Assist in implementing and validating backup and recovery mechanisms within AWS (e.g. AWS Backup, snapshot strategies), including periodic restore testing and retention compliance.