| Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. | |||
| Actual Years Experience |
Years Experience Needed |
Required/ Preferred |
Skills/Experience |
| 5 | Required | years of experience in Snowflake architecture, database design, data sharing, cost optimization and API (Required) | |
| 5 | Required | years of experience in Snowflake concepts like setting up Resource monitors, RBAC controls, scalable virtual warehouse, SQL performance tuning, zero copy clone, time travel and automating them. | |
| 5 | Required | years of experience in handling semi-structured data (JSON, XML), columnar PARQUET using the VARIANT attribute in Snowflake. | |
| 5 | Required | years of experience in re-clustering data in Snowflake with good understanding on Micro-Partitions. | |
| 5 | Required | years of experience in migration processes to Snowflake from on-premises database environment. | |
| 5 | Required | years of experience in designing and building auto ingestion data pipeline with near real time data. | |
| 5 | Required | years of experience working in Cloud technologies such as AWS – S3, SQS, EC2, Lambda, Redshift, RDS | |
| 5 | Required | years of experience designing and developing automated monitoring processes on Snowflake using combination of Python, PySpark, Bash with Snow SQL. | |
| 5 | Required | years of experience with SnowSQL developing stored procedures and writing queries to analyze and transform data. | |