Snowflake consultant job vacancy

Vacancy expired!

Certification:

Essential

At least 3 years’ experience within Data & Analytics
A background in SQL and principles of data warehousing
Experience of ETL design and dev, including Test-Driven development.
Snowflake design and engineering experience and certification plus exposure to one of either Azure, AWS or Google Cloud Platform
Experience in end-to-end implementation of Snowflake cloud data warehouse and end to end data warehouse implementations on-premise
Expertise in Snowflake – data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts
At least 2 years experience using DBT
Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python
Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)

Desirable

Experience of programming languages including Object-Oriented language (.Net. Java, C, Python)
GIT experience
Good knowledge of DevOps / DataOps principles with working knowledge of Docker and Linux
Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning
Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns
Experience with data security and data access controls and design
Experience with AWS or Azure data storage and management technologies such as S3 and ADLS
A track record of achievement and recognition within the IT industry as evidenced by significant promotion since leaving University.
A strong academic track record including the achievement of a good honours degree or equivalent.