Data Modelling Fundamentals Data Warehousing DataStream ETL Fundamentals Modern Data Platform Fundamentals PLSQL Python Snowpipe SnowSQL SQL SQL (Basic Advanced) Time Travel and Fail Safe
Secondary Skills
Matillion
Specialization
Snowflake Engineering: Senior Data Engineer
Job requirements
68 years of industry experience with hands on managing projects in Data Warehousing with a minimum 4 years of experience working on Snowflake Bachelors degree in computer science Engineering or related fields or equivalent practical experience. Should have hands on experience with ETL tools (Matillion Preferred) Deep understanding of relational as well as NoSQL data stores methods and approaches (star and snowflake dimensional modelling). Experience in designing and building manual or auto ingestion data pipeline using Snowpipe. SnowSQL Experience in developing stored Procedures writing Queries to analyse and transform data. Expertise in Snowflake data modeling ELT using snowpipe implementing stored procedures and standard DWH and ETL concepts. Should have implement cloudbased Enterprise data warehouse solutions with multiple data platforms along with Snowflake environment to build data movement strategy Should be able to make necessary ongoing updates to modeling principles processes solutions and best practices to ensure that the Snowflake is aligned with business needs of the environment. Should be able to lead in developing project requirements for endtoend Data integration process using ETL for Structured semistructured and Unstructured Data. Expertise in Snowflake concepts like setting up resource monitors RBAC controls virtual warehouse query performance tuning Zero copy clone time travel and understand how to use these features
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