Snowflake Performance Optimization Engineer

Lonvec Technologies Private Limited

Bengaluru, Mumbai, Chennai District

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

Lonvec Technologies Private Limited is hiring a Snowflake Performance Optimization Engineer to enhance the performance, scalability, and efficiency of enterprise Snowflake environments. The role focuses on SQL optimization, query tuning, data modeling, and warehouse performance management.

Responsibilities include analyzing and optimizing Snowflake query performance, designing efficient data models and warehouse structures, and collaborating with engineering teams to improve enterprise data

Qualifications

  • Experience optimizing Snowflake query performance and workloads.
  • Ability to design efficient data models and warehouse structures.
  • Experience monitoring warehouse utilization and cost efficiency.
  • Strong troubleshooting skills for database performance bottlenecks.
  • Implementation of performance tuning practices for ETL/ELT processes.

Responsibilities

  • Analyze and optimize Snowflake query performance.
  • Design efficient data models and warehouse structures.
  • Monitor and improve warehouse utilization and cost efficiency.
  • Troubleshoot database performance bottlenecks.
  • Collaborate with engineering teams to optimize enterprise data solutions.

Skills

SQL optimization
Query tuning
Data modeling
Warehouse performance management

Tools

Snowflake
SQL
ETL/ELT

Job description

Snowflake Performance & Database Optimization Platform Full-time Hybrid

Snowflake Performance Optimization Engineer

We are hiring an experienced Snowflake Performance Optimization Engineer to improve the performance, scalability, and efficiency of enterprise Snowflake environments. The ideal candidate should have expertise in SQL optimization, query tuning, data modeling, and warehouse performance management.

  • Analyze and optimize Snowflake query performance
  • Design efficient data models and warehouse structures
  • Monitor and improve warehouse utilization and cost efficiency
  • Troubleshoot database performance bottlenecks
  • Implement performance tuning best practices for ETL/ELT processes
  • Collaborate with engineering teams to optimize enterprise data solutions
Requirements
  • Data Warehousing
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