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Snowflake
3.8
based on 28 Reviews
Company Overview
Company Locations
Working at Snowflake
Company Summary
Overall Rating
3.8/5
based on 28 reviews
3% above
industry average
Highly rated for
Salary, Company culture, Work-life balance
Critically rated for
Promotions, Skill development
Work Policy
Monday to Friday
76% employees reported
Flexible timing
84% employees reported
No travel
77% employees reported
View detailed work policy
Top Employees Benefits
Joining goodies
1 employee reported
Recreational activities
1 employee reported
Free meal
1 employee reported
Cafeteria
1 employee reported
View all benefits
About Snowflake
Founded in--
India Employee Count201-500
Global Employee Count1k-5k
HeadquartersBozeman, Montana , USA
Office Locations
--
Websitesnowflake.com
Primary Industry
Other Industries
--
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Snowflake Ratings
based on 28 reviews
Overall Rating
3.8/5
How AmbitionBox ratings work?
5
12
4
6
3
2
2
4
1
4
Category Ratings
4.3
Salary
3.9
Company culture
3.9
Work-life balance
3.6
Job security
3.5
Work satisfaction
3.3
Skill development
3.0
Promotions
Snowflake is rated 3.8 out of 5 stars on AmbitionBox, based on 28 company reviews.This rating reflects an average employee experience, indicating moderate satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
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Snowflake Reviews
Top mentions in Snowflake Reviews
Compare Snowflake with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 3.8/5 based on 28 reviews | 3.3/5 based on 429 reviews | 3.8/5 based on 257 reviews | 3.7/5 based on 272 reviews |
Highly Rated for | Salary Work-life balance Company culture | No highly rated category | Work-life balance Salary Company culture | Job security |
Critically Rated for | Promotions Skill development | Promotions Salary Job security | Skill development Work satisfaction | Salary Promotions |
Primary Work Policy | - | Hybrid 44% employees reported | - | Work from office 92% employees reported |
Rating by Women Employees | 4.0 Good rated by 8 women | 3.3 Average rated by 86 women | 3.3 Average rated by 52 women | 4.1 Good rated by 43 women |
Rating by Men Employees | 3.7 Good rated by 18 men | 3.4 Average rated by 319 men | 3.9 Good rated by 181 men | 3.7 Good rated by 215 men |
Job security | 3.6 Good | 3.0 Average | 3.4 Average | 4.1 Good |
View more
Snowflake Salaries
Snowflake salaries have received with an average score of 4.3 out of 5 by 28 employees.
Data Scientist
(9 salaries)
Unlock
₹5 L/yr - ₹10.7 L/yr
Data Engineer
(9 salaries)
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₹10 L/yr - ₹33.5 L/yr
Senior Software Engineer
(7 salaries)
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₹29 L/yr - ₹52 L/yr
Data Analyst
(7 salaries)
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₹6 L/yr - ₹24.8 L/yr
Senior Data Engineer
(5 salaries)
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₹28.5 L/yr - ₹52 L/yr
Solution Architect
(5 salaries)
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₹46 L/yr - ₹80 L/yr
Analyst
(5 salaries)
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₹11 L/yr - ₹15 L/yr
Software Engineer
(5 salaries)
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₹20 L/yr - ₹50 L/yr
Senior Security Engineer
(5 salaries)
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₹31 L/yr - ₹42 L/yr
Cloud Devops Engineer
(4 salaries)
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₹8.9 L/yr - ₹26.5 L/yr
Snowflake News
View all
Top Trump Officials’ Passwords and Personal Phone Numbers Discovered Online
- After senior Trump administration members mistakenly included The Atlantic editor Jeffrey Goldberg in a secret group chat about bombing Houthi targets in Yemen, encrypted messaging app Signal found itself at the center of a storm this week.
- The incident labeled 'SignalGate' highlighted errors in handling sensitive information rather than flaws in the Signal app's security. Signal actually experienced a surge in US downloads following the news.
- Amidst revelations from the Houthi group chat, national security adviser Mike Waltz left his Venmo account accessible to the public, exposing his connections, which could pose risks from foreign spies and hackers.
- Der Spiegel reported that sensitive personal information of top Trump administration security officials, including passwords, phone numbers, and email addresses, was easily accessible online, potentially compromising their security.
- The earthquake in Myanmar revealed how internet restrictions under the military junta hindered the dissemination of information about the disaster, hampering recovery and humanitarian efforts.
- Alleged Snowflake hacker Connor Moucka agreed to be extradited to the US to face charges related to a massive data exfiltration incident involving the cloud storage company.
- London is set to deploy its first permanent face recognition cameras, raising concerns among privacy advocates about the expansion of surveillance in the city.
- Increased use of face recognition technology by UK police forces and the permanent installation of such cameras in London spark debates over privacy and potential widespread surveillance.
- The handling of sensitive information and the risks posed by online exposure are key themes in recent security incidents involving high-level officials and technology.
- Cybersecurity threats, privacy concerns, and the impact of surveillance technologies feature prominently in the evolving landscape of digital security.
Wired | 29 Mar, 2025
Unlocking Time: Using Snowflake Time-Series Functions to Power Game Analytics (and Beyond)
- Snowflake's native time-series functions can transform raw game telemetry into actionable insight.
- Time-series analysis enables tracking how player actions evolve over time, revealing patterns like session length trends, retention decay, churn behavior, and engagement spikes.
- Understanding time-based player interactions is essential for optimizing monetization and improving retention, especially for games with dynamic content and live events.
- Time-series analytics in Snowflake provides a more powerful and simpler way to analyze data compared to relying on static or aggregated data snapshots.
Medium | 28 Mar, 2025
Lakehouse: Manus? MCP? Let’s Talk About Lakehouse and AI
- AI has become an unavoidable topic across various industries since the launch of ChatGPT by OpenAI in late 2022, leading many companies to transform into AI companies quickly.
- Databricks, Snowflake, and Elasticsearch have all shifted to AI data platforms or AI-ready data analytics and search products.
- The article explores the relationship between Lakehouse and AI in the data analytics domain, focusing on the Model Context Protocol (MCP) introduced by Anthropic in late 2024.
- MCP serves as a communication protocol between large models and data sources, facilitating easy interaction and collaboration.
- By integrating with MCP, tools like Claude Desktop have enhanced efficiency in working with AI data sources.
- Apache Doris MCP Server allows for direct access and exploration of data stored in Apache Doris, demonstrating the integration of AI models with data services.
- The use of a Data Lake enables seamless collaboration among different compute engines in AI development, ensuring data consistency and real-time access.
- Analytics engines like Apache Doris provide high performance and richer SQL expression capabilities, supporting complex AI scenarios with acceptable user experience.
- In the AI era, open data formats like Iceberg and data APIs play crucial roles in enabling seamless data integration and analysis for AI applications.
- Apache Doris supports both open data formats and APIs, positioning itself as a leading data analytics engine for AI applications.
- Future articles will delve into more features of Lakehouse architecture, real-time data warehouses, and query engines like Doris in supporting AI applications and data analysis.
Dzone | 26 Mar, 2025
Alleged Snowflake hacker agrees to be extradited to the US
- Connor Moucka, accused of stealing large amounts of customer data from companies that used Snowflake’s cloud storage services, has agreed to be extradited to the US.
- Around 165 companies, including AT&T and Ticketmaster, were affected by the Snowflake breaches.
- Moucka is facing 20 federal charges for violations of the Computer Fraud and Abuse Act and allegedly collected around $2.5 million worth of ransom from victims.
- Other companies affected by the breaches include Live Nation, AT&T, Santander Bank, Advanced Auto Parts, and Lending Tree subsidiary Quote Wizard.
The Verge | 25 Mar, 2025
Microsoft at 50: The journey and future of the partner ecosystem
- Microsoft celebrates its 50th anniversary and reflects on the journey with partners, employees, and customers, focusing on using technology for positive impact and innovation.
- The company started with the vision that technology could change the world, now embracing cloud innovation and AI, with a strong partner ecosystem of over 500,000.
- Partners play a crucial role, with IDC showing that for every $1 of Microsoft revenue, services partners earn $8.45 and software partners earn $10.93, indicating significant opportunities for growth.
- The focus on generative AI (GenAI) presents exponential growth potential, with partners deriving revenue from AI solutions experiencing higher margins and growth.
- Microsoft emphasizes continuous reinvention, thanking partners for driving transformation and customer success across industries.
- The article highlights testimonies and collaborations with key partners like Intel, PwC, Snowflake, and Lenovo, underlining the impactful partnerships.
- The Microsoft AI Cloud Partner Program (MAICPP) aims to empower partners worldwide with tools and resources to excel in a rapidly evolving market landscape.
- Partners are encouraged to pursue designations and specializations to access tailored benefits, go-to-market resources, and incentives for enhanced growth and market presence.
- Azure partners are offered additional incentives through Azure Migrate and Modernize programs, focusing on supporting customers from migration to innovation.
- Marketplaces, skilling opportunities, and events are key focus areas for partners, with Microsoft actively engaging and empowering partners to leverage new opportunities for growth.
Microsoft | 24 Mar, 2025
[Snowflake's New Feature] Alert on New Data, and try with Monitoring Tasks and Dynamic Tables
- Snowflake has introduced a new feature for triggering alerts when new records are added to a target table, allowing specified condition expressions to be executed.
- The article details the setup process for error notifications for tasks and Dynamic Tables using this feature.
- It begins by creating databases, schemas, and sample tables for testing purposes.
- The creation of event tables and their association with databases is explained, along with setting log levels at the schema level.
- Enabling change tracking on the event table and verifying log collection is demonstrated.
- Steps for creating email notification integrations, setting up alerts, enabling alerts, and testing alerts are outlined in the article.
- Alert execution history retrieval and a concluding section emphasizing the benefits and ease of implementation of this new alert feature are also covered.
- Overall, the feature simplifies monitoring of errors in tasks and Dynamic Tables, providing a cost-effective and efficient solution for alerting on new data in Snowflake.
- The article encourages readers to explore this feature for their own use cases, highlighting its versatility and practicality.
Dev | 23 Mar, 2025
![[Snowflake's New Feature] Alert on New Data, and try with Monitoring Tasks and Dynamic Tables](https://media2.dev.to/dynamic/image/width=1000,height=500,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fjn5afirntecz49ezx5rt.png)
Snowflake Partners FutureSkills Prime To Train 1 Lakh Indian Students In AI Skills
- US-based cloud platform Snowflake has partnered with FutureSkills Prime to train over 100,000 Indian students and professionals in data and AI skills.
- Snowflake's entry-level training courses will be integrated on the platform, giving access to more than 2,100 institutions.
- FutureSkills Prime is a skilling initiative by the Ministry of Electronics and Information Technology and Nasscom, offering multiple courses to upskill IT manpower.
- Snowflake's training courses will also be integrated into university curriculum and aligned with the National Skills Qualification Framework.
Inc42 | 21 Mar, 2025
Connected Data, Better Insights: Data Enrichment Done Right
- Change is a constant in business, with technology disruptions like AI, machine learning, and cloud computing shaping the landscape.
- Data enrichment, combined with AI applications, helps in deriving valuable insights by integrating external information with internal data.
- The accuracy, speed, and scale of data enrichment have evolved to make data-driven decision-making more efficient.
- Data enrichment augments internal data with third-party datasets, providing real-world context that uncovers hidden patterns for more informed decisions.
- Standardizing datasets from multiple providers poses a challenge, requiring resolving duplicates and ensuring consistency with each new data source.
- A new solution, akin to a 'universal data adapter,' simplifies data enrichment with pre-linked datasets, offering faster time-to-value and reduced complexities.
- Data Link Solution brings together data providers to facilitate rapid discovery, connection, and utilization of essential data for analytics and operations.
- Utilizing curated datasets and apps for tasks like geo addressing within platforms like Snowflake AI Data Cloud enhances operational efficiency.
- Connecting data through unique identifiers enables more informed decision-making by aligning data from various sources seamlessly.
- Seamlessly enriching data from multiple sources accelerates time-to-value with meaningful insights, paving the way for further advancements in data enrichment.
Precisely | 20 Mar, 2025
Comparing DuckDB, Snowflake, and Databricks
- The exponential growth of data has led to the rise of data platforms like DuckDB, Snowflake, and Databricks, reshaping data processing.
- DuckDB is a lightweight, in-process analytical database focused on SQL queries for quick analyses of local datasets.
- Snowflake revolutionizes data warehousing with cloud-native architecture, offering comprehensive data storage and processing.
- Databricks provides a unified platform for big data processing and machine learning, building on Apache Spark's power.
- DuckDB operates within the host application, leveraging self-hosted execution, columnar storage, and vectorized query execution.
- Snowflake's architecture includes multi-cluster shared resources, cloud storage with proprietary layer, and virtual warehouses.
- Databricks combines Apache Spark with proprietary technologies for data engineering, analytics, and machine learning.
- DuckDB is ideal for quick data analyses, embedded analytics, and local data processing scenarios.
- Snowflake excels in centralized data repository, BI reporting, data sharing, AI/ML, and large-scale enterprise data pipelines.
- Databricks caters to advanced analytics, machine learning, real-time data processing, and large-scale ETL tasks.
Dzone | 19 Mar, 2025
Snowflake Cost Optimization Techniques
- Snowflake is a cloud-based data warehousing platform that requires cost optimization to manage large datasets economically.
- Understanding Snowflake's pricing model, which includes storage, compute, and cloud services costs, is crucial for effective cost management.
- Optimizing virtual warehouse usage by right-sizing, auto-suspending, and using multi-cluster warehouses can reduce compute costs.
- Data clustering, partitioning, and compression techniques help to improve query performance and lower compute costs.
- Implementing data compression, archiving, and retention policies can lead to significant cost savings in Snowflake storage.
- Monitoring and optimizing query performance, controlling cloud services costs, and utilizing Snowflake features like data sharing are essential for cost optimization.
- Establishing cost governance, leveraging caching capabilities, and adopting a data lifecycle management strategy contribute to effective cost management in Snowflake.
- Regular audits, proper access controls, and leveraging caching capabilities can lead to significant savings and improved performance in Snowflake.
- Snowflake's flexibility can be harnessed effectively with cost optimization techniques to manage large datasets economically.
- Continuous monitoring and optimization are key to ensuring a cost-effective solution for managing large-scale data in Snowflake.
Javacodegeeks | 19 Mar, 2025
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Snowflake FAQs
Where is the Snowflake headquarters located?
Snowflake is headquartered in Bozeman, Montana.
How many employees does Snowflake have in India?
Snowflake currently has approximately 300+ employees in India.
Does Snowflake have good work-life balance?
Snowflake has a Work-Life Balance Rating of 3.9 out of 5 based on 20+ employee reviews on AmbitionBox. 64% employees rated Snowflake 4 or above, while 36% employees rated it 3 or below on work-life balance. This indicates that the majority of employees feel a generally balanced work-life experience, with some opportunities for improvement based on the feedback. We encourage you to read Snowflake work-life balance reviews for more details
Is Snowflake good for career growth?
Career growth at Snowflake is rated as moderate, with a promotions and appraisal rating of 3.0. 36% employees rated Snowflake 3 or below, while 64% employees rated it 4 or above on promotions/appraisal. This rating suggests that while some employees view growth opportunities favorably, there is scope for improvement based on employee feedback. We recommend reading Snowflake reviews for more detailed insights.
What are the pros and cons of working in Snowflake?
Working at Snowflake comes with several advantages and disadvantages. It is highly rated for salary & benefits, company culture and work life balance. However, it is poorly rated for promotions / appraisal and skill development, based on 20+ employee reviews on AmbitionBox.
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