Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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.
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.
Minimum 5 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.