Senior Software Engineer, Data
FlexSalary not specified
- Full Time
- Senior (5 to 8 years)
$98,000 – $125,800Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, CloudIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have at least 5 years of experience in technical support, specifically with RDBMS environments. Experience working in a 24x7 environment, handling technical case escalations and incident management, and familiarity with database release management are highly desirable. Applicants should be flexible with schedule changes to meet business needs and be able to work the 1st/morning shift which typically starts from 6 am IST.
Responsibilities
As a Senior Cloud Support Engineer, you will drive technical solutions to complex problems by providing in-depth analysis and guidance to Snowflake customers and partners, utilizing various communication methods such as email, web, and phone. You will adhere to response and resolution SLAs and escalation processes to ensure fast resolution of customer issues, demonstrating good problem-solving skills and a process-oriented approach. Additionally, you will utilize the Snowflake environment, connectors, and tools to investigate issues, document known solutions in the knowledge base, and report well-documented bugs and feature requests.
Skills
RDBMS
Database release management
Data integration
Networking
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.
Key Metrics
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees