Snowflake/Python

Responsibilities

Hands-on development experience with Snowflake features such as Snow SQL; Snow

Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata

Manager; data sharing; and stored procedures.

Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
Need to have working knowledge of MS Azure configuration items with respect to

Snowflake.

Developing EL pipelines in and out of data warehouse using combination of Data bricks,

Python and Snow SQL.

Strong understanding or Snowflake on Azure Architecture, design, implementation and

operationalization of large-scale data and analytics solutions on Snowflake Cloud Data

Warehouse.

Developing scripts UNIX, Python etc. to Extract, Load and Transform data, as well as

Other Utility Functions.

Provide production support for Data Warehouse issues such data load problems,

transformation translation problems

Translate mapping specifications to data transformation design and development

strategies and code, incorporating standards and best practices for optimal execution.

Understanding data pipelines and modern ways of automating data pipeline using cloud

based testing and clearly document implementations, so others can easily understand

the requirements, implementation, and test conditions.

Perform code reviews to ensure fit to requirements, optimal execution patterns and

adherence to established standards.

Requirements

Minimum 8 years of designing and implementing an operational production grade large-

scale data solution on Microsoft Azure Snowflake Data Warehouse.

Including hands on experience with productionized data ingestion and

processing pipelines using Python, Data bricks, Snow SQL

Excellent understanding of Snowflake Internals and integration of Snowflake with other

data processing and reporting technologies

Excellent presentation and communication skills, both written and verbal, ability to

problem solve and design in an environment with unclear requirements.