Cloud Engineer Associate

Snowflake AdminHybrid – McLean VAAssignment Type: 6+ months with possible extension.Vetting Questions Need To Be Attached:Question 1: Please describe your most recent Snowflake administration experience. What was the project? What was your contribution? What tools did you use?Question 2: Please describe your most recent Snowflake experience in infrastructure integration with other systems including but not limited to single sign on, HashiCorp vault, SailPoint, API Gateway, PlainID and Dremio. What was the project? What was your contribution?Question 3: Please describe your most recent Snowflake experience in disaster recovery. What was the project? What was your contribution?Must Have Skills:Snowflake Administration – Level 3 SupportSnowflake Administration - cloning, storage management, compute management, etc. on SnowflakeOther Administration Activities – Configuration, troubleshooting, disaster recoverySnowSQLPreferred Skills:DDL (Data Definition Language)PythonIntegration with CyberArk/Hashicorp/Vault/Any other IAM ToolsDremioAWSFinTech IndustryQualifications:Experience with Snowflake admin.Be able to Identify the various aspects of compute and storage management in SnowflakeIllustrate administrative tasks within the detailed architecture of SnowflakeEmploy recovery methods and agile development with Time Travel & CloningDescribe the DDL operations that work with fundamental database objectsUse account-level replication for failover scenariosGood-to-have:Experience with Python programming skill.Experience with Keychain, HashiCorp Vault, CyberArk, PingID and Active DirectoryExperience with AWS (S3, Route53, Lambda, Cloudwatch)Experience with deployment and supporting production systems.Experience with DremioKnowledge of application development lifecycles, & continuous integration/deployment practicesProficient in Agile Software Development methodology, processes, and practices.Good skill in communication, documentation, abstraction, and presentation.Bachelor's degree in related fieldDetailed driven, Strong, analytical with excellent problem-solving skillsMinimum 2 years of hands-on in-depth experience of AWS Data Pipelines development and implementation is required