Interface with key stakeholders and apply technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application development, definition and Design.
Creating high-level design artifacts and support the team to deliver high quality code deliverables
Identify test / validation scenarios for and lead the validation for all types of testing and support activities related to implementation and transition
Design and Develop Data ingestion and processing flows in and out of data warehouse using combination of Python and Snowflakes SnowSQL
Qualifications :
5-8 Years of work experience in ETL tools from designing and implementing data ingestion and processing pipelines
Minimum 3+ years of experience in designing and implementing a fully operational solution on Snowflake Data Warehouse
Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
Experience in data integration activities including : designing, coding, testing, deploying and supporting of applications
Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python
Experience in developing stored Procedures / writing Queries to analyze and transform data
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 modeling)
Good knowledge and extensive experience in SQL
Well-versed in RDBMS databases
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