Required Qualifications
•Experience implementing ML models and building highly scalable and high availability systems.
•Experience operating in distributed environments including cloud (Azure, Google Cloud Platform, AWS etc.).
•Experience building, launching and maintaining complex analytics pipelines in production.
•Familiarity with building data pipelines, data modeling, architecture & governance concepts.
•Platforms: Snowflake, Kubernetes, Kubeflow, Tensorflow, Azure Cloud, Teradata.
•Languages: Kubectl, SnowSQL, Python.
•Use various SQL tools or scripts to monitor data quality, identify issues and implement solutions.
•Experience building real-time applications.
•Leading a team of junior data engineers and/or analytics-focused teams to deliver complex analytics projects on aggressive timelines.
•Examine and identify Data warehouse structural necessities by evaluating business requirements.
•Assess Data warehouse implementation procedures to ensure they comply with internal and external regulations.
•Prepare accurate Data Warehouse Design and architecture reports for management and executive teams.
•Experience in creation and modification of user accounts and security groups per request
•Network infrastructure and security best practices for the cloud.
•Experience with scaling workloads on GPUs and deep neural networks.
•Experience with serving models using KFServing etc.
•Experience with scaling using Dask.

Preferred Qualifications
•Snowpro certification.
•Exposure to Healthcare Domain knowledge would be a plus.
•Master's in data science or Business Analytics.
•Experience with cloud computing environment (ideally Microsoft Azure).
•Experience in Snowflake data modeling, ELT/ETL using Snowflake SQL.