- Responsible for architecting and implementing very large scale data intelligence solutions around Snowflake Data Warehouse.
- Solid experience and understanding of architecting, designing and operationalization of large scale data and analytics solutions on Snowflake Cloud Data Warehouse.
- Need to have knowledge of AWS/Azure or GCP.
- Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflakes SnowSQL.
Experience in developing data ingestion and processing pipelines using Java, Spark, Scala, Python.
- 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 in designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse.
- Hands on experience designing and implementing production grade data warehousing solutions on large scale data technologies such as Teradata, Oracle or DB2
- Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
- Excellent presentation and communication skills, both written and verbal ability to problem solve and architect in an workplace with unclear requirements.
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