Must-Have:

Should have 4+ long periods of IT experience, pertinent experience of no less than 2 years in Snowflake.

Top to bottom comprehension of Information Warehousing, ETL ideas and demonstrating structure standards

Experience working with Snowflake Capabilities, hands on exp with Snowflake utilities, stage and record transfer highlights, time travel, fall flat safe,procedure writing,tasks,snowpipe, SnowSQL

Information on Snowflake Engineering

Great information on Cutting edge SQL with Joins, Perspectives/Appeared, different Capabilities, Layered Information Demonstrating and ETL strategies utilizing SQL.

Experience in Python utilitarian writing computer programs is an unquestionable necessity with Pandas, Apache Wind current and so forth.,

Fundamentals of ML and Gen artificial intelligence

Aptitude on designing stage parts like Information Pipelines, Information Coordination, Information Quality, Information Administration and Investigation

Involved insight for executing huge scope information knowledge arrangement around Snowflake DW

Experience working with Semi-Organized information

Great to-Have:

·         Amazing relational, authoritative, composed correspondence, oral correspondence and li stening abilities

·         Ought to concoct the work assessment and ought to give contributions to directors on asset and hazard arranging.

·         Solid information and active experience on Unix shell prearranging

·         Capacity to arrange with SMEs, partners, oversee courses of events, acceleration and give on time status

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