Immediate need for a talented Snowflake Performance Engineer . This is a 02 Months Contract opportunity with long-term potential and is located in Sunnyvale, CA (Hybrid) . Please review the job description below and contact me ASAP if you are interested.
Job ID : 25-91327
Pay Range : $78 - $80 / hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities :
- Familiar with zero copy cloning and using time travel features to clone table
- Familiar in understanding Snowflake query profile and what each step does and identifying performance bottlenecks from query profile
- Understanding of when a table needs to be clustered
- Choosing the right cluster key as a part of table design to help query optimization
- Working with materialized views and benefits vs cost scenario
- How Client micro partitions are maintained and what are the performance implications wrt micro partitions / pruning etc
- Horizontal vs vertical scaling. When to do what. Concept of multi cluster warehouse and autoscaling
- Advanced SQL knowledge including window functions, recursive queries and ability to understand and rewrite complex SQLs as a part of performance optimization
Key Requirements and Technology Experience :
Skills- [ Metadata , Teradata, Python , Virtual Warehouse (VW)]8 Years of experienceStrong ability to design and develop workflows in Client in at least one cloud technology (preferably, AWS)Apply Client programming and ETL experience to write Client SQL and maintain complex, internally developed Reporting system.Preferable knowledge in ETL Activities like data processing from multiple source systems.Extensive Knowledge on Query Performance tuning.Apply knowledge of BI tools.Manage time effectively. Accurately estimate effort for tasks and meet agreed-upon deadlines. Effectively juggle ad-hoc requests and longer-term projects.Has good knowledge on Client Architecture.Understanding Virtual Warehouses - multi-cluster warehouse, autoscalingMetadata and system objects - query history, grants to users, grants to roles, usersMicro-partitionsTable Clustering, Auto ReclusteringMaterialized Views and benefitsData Protection with Time Travel in Client - extremely impAnalyzing Queries Using Query Profile - extremely important (Explain plan)Cache architectureVirtual Warehouse (VW)Named StagesDirect LoadingSnowPipe, Data Sharing, Streams, JavaScript Procedures & TasksOur client is a leading IT Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
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