• Salary 12 LPA - 15 LPA
  • Shift Full Time
  • Job Qualifications M.Tech , MCA , B.Tech/B.E
  • Number of vacancies 2
  • Job experience 6+ year
  • Job level Expert

Job Description

  • Has good knowledge on Snowflake Architecture.
  • Understanding Virtual Warehouses - multi-cluster warehouse, autoscaling
  • Metadata and system objects - query history, grants to users, grants to roles, users
  • Micro-partitions
  • Table Clustering, Auto Reclustering
  • Materialized Views and benefits
  • Data Protection with Time Travel in Snowflake - extremely imp
  • Analyzing Queries Using Query Profile - extremely important (Explain plan)
  • Cache architecture
  • Virtual Warehouse(VW)
  • Named Stages
  • Direct Loading
  • SnowPipe, Data Sharing,Streams, JavaScript Procedures & Tasks
  • Strong ability to design and develop workflows in Snowflake in at least one cloud technology (preferably, AWS)
  • Apply Snowflake programming and ETL experience to write Snowflake 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.
  • having some Team leading experience.

Required Knowledge, Skills, and Abilities

Snowflake performance specialist

  • Familiar withzero copy cloningand usingtime travelfeatures to clone table
  • Familiar in understandingSnowflake query profileand what each step does andidentifying performance bottlenecks from query profile
  • Understanding of when a table needs to be clustered
  • Choosing the right cluster keyas a part of table design to help query optimization
  • Working with materialized views andbenefits vs cost scenario
  • How Snowflake micro partitions are maintained and what are the performance implications wrt micro partitions/ pruningetc
  • Horizontal vs vertical scaling. When to do what.Concept of multi cluster warehouse and autoscaling
  • Advanced SQL knowledge including window functions, recursive queriesand ability to understand and rewritecomplex SQLs as a part of performance optimization

Education + Experience

B.E / B.Tech, MCA

Mandatory Skills

  • Data Scientist

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Job Overview

  • Posted date : 1st Mar 2024
  • Location : Bangalore
  • Job Applicants : 0
  • Application date : 31st May 2024
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Company Information

Namsbel Global Private Limited

We are a team of professionals who understands the trends and needs and provide appropriate services with effective performance