Cloud Developer & Data Scientist with Snowflake
Budget: $100 – $450 USD
I am looking to hire a developer that is skilled in Snowflake, Snowpark, AWS and Azure.
Snowflake released support for Snowpark in Python.
I am looking to develop a couple architecture templates that utilizes Snowpark. For example, creating a template and UDF in Snowflake that can use the data that is in Snowflake, do all the machine learning preprocessing, training, and running of the model using Snowflake compute. The finally showing the results in either Snowsight or pushed to a PowerBI dashboard for example.
The template should be repeatable for many models (meaning if I want to to an XGBoost, linear regression, Kmeans, or NLP, the same architecture should handle all of these).
Data sources can come directly from snowflake OR do an API call to pull in data from some S3 bucket or Azure data storage.
I want all ML processing and compute to occur within Snowpark and be a repeatable UDF architecture.
I have attached how I am imagining this template workflow.
Skills and Expertise:
- Cloud Architecture
- Cloud Implementation
- Python
- Data Science
- Machine Learning
- ETL Pipeline
- Amazon Web Services
- TensorFlow
- Artificial Intelligence
- SQL
- Big Data
Start your proposal with a similar project name you have done before.
If not so, there is no interview.
Snowflake released support for Snowpark in Python.
I am looking to develop a couple architecture templates that utilizes Snowpark. For example, creating a template and UDF in Snowflake that can use the data that is in Snowflake, do all the machine learning preprocessing, training, and running of the model using Snowflake compute. The finally showing the results in either Snowsight or pushed to a PowerBI dashboard for example.
The template should be repeatable for many models (meaning if I want to to an XGBoost, linear regression, Kmeans, or NLP, the same architecture should handle all of these).
Data sources can come directly from snowflake OR do an API call to pull in data from some S3 bucket or Azure data storage.
I want all ML processing and compute to occur within Snowpark and be a repeatable UDF architecture.
I have attached how I am imagining this template workflow.
Skills and Expertise:
- Cloud Architecture
- Cloud Implementation
- Python
- Data Science
- Machine Learning
- ETL Pipeline
- Amazon Web Services
- TensorFlow
- Artificial Intelligence
- SQL
- Big Data
Start your proposal with a similar project name you have done before.
If not so, there is no interview.