Senior SQL Developer - Snowflake
Kunai$130,000 - $160,000/year
- Full Time
- Senior (5 to 8 years)
Snowflake
Senior Cloud Support Engineer - Data Platform (Night Shift 10 PM - 7 AM)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Enterprise SoftwareIndustries
Requirements
Candidates should have extensive experience in technical support for RDBMS and familiarity with database release management. Experience working in a 24x7 environment, handling technical case escalations, and incident management is essential. Strong problem-solving skills and a process-oriented mindset are required, along with effective communication skills for customer interactions.
Responsibilities
As a Senior Cloud Support Engineer, you will provide technical solutions to complex problems and deliver in-depth analysis and guidance to Snowflake customers. You will adhere to response and resolution SLAs, document known solutions, report bugs and feature requests, and partner with engineering teams to prioritize customer requests. Additionally, you will participate in various support initiatives to improve customer satisfaction.
Skills
Operating Systems
Database Technologies
Big Data Technologies
Data Integration
Connectors
Networking
Incident Management
Technical Case Escalations
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