Must have total 14+ yrs. in IT and 3+ years' experience working as a snowflake Data Architect and 8+ years in Data warehouse, ETL, BI projects.
Must have experience at least two end to end implementation of Snowflake cloud data warehouse and 3 end to end data warehouse implementations on-premise preferably on Oracle.
Expertise in Snowflake data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts
Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns
Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python
Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
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
Build processes supporting data transformation, data structures, metadata, dependency and workload management
Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
Must have expertise in AWS or Azure Platform as a Service (PAAS).
Certified Snowflake cloud data warehouse Architect (Desirable).
Should be able to troubleshoot problems across infrastructure, platform and application domains.
Must have experience of Agile development methodologies
Strong written communication skills. Is effective and persuasive in both written and oral communication •
Last updated on Jun 9, 2022