Senior SQL Developer - Snowflake
Kunai$130,000 - $160,000/year
- Full Time
- Senior (5 to 8 years)
Snowflake
Senior Cloud Support Engineer - SQL (Night Shift - 10 PM to 7 AM IST)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates must have extensive experience with various operating systems, database technologies, big data, data integration, connectors, and networking. Previous experience in technical support for an RDBMS and familiarity with database release management are required. Candidates should also have experience working in a 24x7 environment and handling technical case escalations and incident management.
Responsibilities
As a Senior Cloud Support Engineer, you will provide technical solutions to complex problems for Snowflake customers through email, web, and phone communication. You will adhere to response and resolution SLAs, demonstrate strong problem-solving skills, and utilize the Snowflake environment to investigate issues. Additionally, you will document known solutions, report bugs and feature requests, partner with engineering teams to prioritize customer requests, and participate in various Support initiatives.
Skills
SQL
Database Technologies
Big Data Technologies
Data Integration
Networking
Incident Management
RDBMS
Database Release Management
Snowflake
Data management and analytics platform
About Snowflake
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees