Datawarehouse Specialist -Montreal Canada or Toronto ON

• Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
• Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time travel, 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 Databricks, Python and SnowSQL.
• Developing scripts UNIX, Python etc. to do Extract, Load and Transform data.
• 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.
• Establishing and monitoring Operational Level Agreements for the health and performance/cost of the warehouse environment (Loads, queries, data quality)

Basic Qualifications:

• Minimum 3 years of designing and implementing an operational production grade large-scale data solution on MA Azure Snowflake Data Warehouse.
• Including hands on experience with productionized data ingestion and processing pipelines using Python, Databricks, SnowSql
• 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.
• Ability to lead and drive performance of a team of developers local and offshore.

Preferred Skills:

• Bachelor's degree in Computer Science, Engineering, Technical Science
• 3 years of technical architecture and build experience with large-scale data warehouse solutions.
  Code optimization expertise
• Experience building data ingestion pipelines using Python and Databricks in working with MS Azure.
• 3 years' experience in Finance / Banking industry some understanding of Securities and Banking products and their data footprints.