• 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.