Basic Qualifications Minimum 3-4 year of designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse.
Good understanding of database design concepts - Transactional / Data mart / Data warehouse etc.
Expertise in loading from disparate data sets and translating complex functional and technical requirements into detailed design. Will also perform analysis of vast data stores and uncover insights.
Snowflake data engineers will be responsible for architecting and implementing very large scale data intelligence solutions around Snowflake Data Warehouse.
Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflakes SnowSQL Writing SQL queries against Snowflake.
Developing scripts Unix, Python etc. to do Extract, Load and Transform data . Translate requirements for BI and Reporting to Database design and reporting design.
Understanding data transformation and translation requirements and which tools to leverage to get the job done Understanding data pipelines and modern ways of automating data pipeline using cloud based Testing and clearly document implementations, so others can easily understand the requirements, implementation, and test conditions.
Experience building data ingestion pipeline using Talend, Informatica Experience in working with AWS, Azure and Google data services Prior experience in client facing project