4+ years of experience working in a data warehousing system and a minimum of 1 year of experience building and implementing a full-scale data warehouse solution based on Snowflake.
Enjoys working on Snowflake Developing scripts Unix, Python, etc. to do Extract, Load, and Transform data and build OLAP queries.
Practical knowledge of Snowflake tools such as SnowPipe, SnowPython, Snow SQL, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures.
Comprehensive knowledge of the Data Warehouse/ODS, the ETL concept, and the fundamentals of modeling structure
Passionate to work in Python and recommended to have Snowpro certification
Enthuse to work in data warehousing, including OLTP, OLAP, Dimensions, Facts, and data modeling, as well as the ability to collect and evaluate system needs
Profound exposure to any Cloud Data Ecosystem Azure, AWS, GCP and working familiarity with any ETL tool (Informatica or SSIS) and data visualization tools (Tableau/Power BI)
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Data AnalystEmployement Type: Full time