Vacancy expired!
- 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