Snowflake Developer Job Description-Responsibilities, Skills &Salaries
What is a Snowflake Developer?
A Snowflake Developer is a professional who specializes in working with Snowflake, a cloud-based data platform used for storing, managing, and analyzing large amounts of data.
They help businesses organize, process, and analyze data efficiently using Snowflake’s cloud technology. Their job involves creating databases, writing SQL queries, managing data pipelines, and ensuring smooth data flow for companies.
What Does a Snowflake Developer Do?
A Snowflake Developer works with Snowflake, a cloud-based data storage and management system. Their main job is to help companies store, organize, and use their data in the best way possible. Here are their main tasks
Designs and manages databases in Snowflake
- A database is like a big folder where companies store all their important information.
- A Snowflake Developer creates these databases and makes sure they are well-organized and easy to use.
Writes SQL queries to fetch and process data
- SQL (Structured Query Language) is a special language used to get data from databases.
- A Snowflake Developer writes SQL commands to find, change, and organize data.
Builds data pipelines to move data from different sources into Snowflake
- Businesses collect data from different places like websites, apps, or customer transactions.
- A data pipeline is like a bridge that helps move this data into Snowflake for storage and analysis.
Optimizes data performance for faster processing
- When companies have huge amounts of data, it can become slow to retrieve or analyze.
- A Snowflake Developer makes sure the system runs fast and smoothly, even when handling large amounts of information.
Ensures data security by managing user access and permissions
- Not everyone in a company should have access to all data.
- A Snowflake Developer sets security rules so that only the right people can see or change certain data.
Where is Snowflake Developer Used?
Companies use Snowflake for different purposes. Here are some of the most common areas
Business Intelligence – Creating reports and dashboards
- Businesses need reports to understand their sales, customers, and trends.
- Snowflake helps collect and organize data so that reports can be made quickly and accurately.
Data Warehousing – Storing and organizing huge data sets
- Companies collect huge amounts of data every day.
- Snowflake acts as a warehouse where this data is stored in an organized way.
Big Data Analytics – Processing and analyzing data for insights
- Companies use Snowflake to analyze large amounts of data and make better business decisions.
- Example: A store can analyze customer purchase data to know which products sell the most.
Machine Learning – Preparing data for AI and predictive models
- Machine Learning (ML) and Artificial Intelligence (AI) need high-quality data to work well.
- Snowflake helps clean, organize, and process data, making it ready for AI and ML applications.
Who Hires Snowflake Developers?
Tech Companies – Google, Microsoft, IBM
- These companies handle huge amounts of data and need Snowflake experts to manage it.
Finance & Banking – JPMorgan, Citibank
- Banks use Snowflake to store financial data, detect fraud, and manage transactions.
Retail & E-Commerce – Amazon, Walmart
- Online shopping websites use Snowflake to analyze customer purchases and manage inventory.
Healthcare & Pharma – Pfizer, Johnson & Johnson
- Hospitals and medicine companies use Snowflake to store patient records and analyze medical research data.
What Is Snowflake Technology?
Snowflake is a modern cloud-based database system that helps companies store, manage, and analyze their data. Unlike traditional databases that require big physical computers and expensive hardware, Snowflake runs completely on the internet (cloud). This makes it faster, more flexible, and easier to use for businesses.
Why Do Companies Use Snowflake?
- Cloud-Based (No Physical Servers Needed) – Everything runs on the internet, so companies don’t need to buy or maintain big machines.
- Fast & Scalable (Handles Any Amount of Data) – Whether a company has small or huge amounts of data, Snowflake runs smoothly without slowing down.
Easy to Use (No Complex Setup) – Companies can store, search, and analyze data easily without hiring a big IT team. - Secure (Protects Important Data) – Snowflake keeps data safe by allowing only authorized users to access it.
- Works Well with Big Data & AI – Snowflake can handle large-scale data analysis, machine learning, and artificial intelligence.
Snowflake Developer Skills
A Snowflake Developer needs to have certain skills to work with Snowflake, a cloud-based database system. These skills help them store, manage, and analyze data efficiently.
Important Skills for a Snowflake Developer
SQL (Structured Query Language)
- SQL is a special computer language used to search, update, and organize data in Snowflake.
- It helps developers find specific information from large amounts of data.
Snowflake Architecture & Features
- A Snowflake Developer should understand how Snowflake works and how to use its special tools.
- They need to know how to store and process data in Snowflake efficiently.
ETL (Extract, Transform, Load) Tools
- ETL tools move data from different sources into Snowflake.
- Examples of ETL tools: Apache Airflow, Talend, Informatica.
Data Warehousing Concepts
- A Snowflake Developer must understand how large amounts of data are stored and organized in a database.
- They should know how to arrange data properly so it can be used easily.
Cloud Platforms (AWS, Azure, Google Cloud)
- Since Snowflake runs on the cloud, developers must know how to use Amazon Web Services (AWS), Microsoft Azure, or Google Cloud.
- These platforms help manage and process data on the internet.
Performance Optimization
- Snowflake Developers must make data processes faster by using the best methods.
- This helps businesses save time and money when handling large amounts of data.
Data Security & Access Control
- A developer must know how to protect data so that only the right people can access it.
- They use security rules and permissions to keep data safe.
Types of Skills for Snowflake Developers
1. Cloud Computing and Snowflake Architecture
- Cloud Computing means storing and managing data on the internet instead of on a physical computer or hard drive.
- Snowflake is a cloud-based database, which means all the data is stored online and can be accessed from anywhere.
- A Snowflake Developer must know how Snowflake is built, how it works, and how to use it properly.
- They should also understand how different cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud work because Snowflake runs on these platforms.
Example: Imagine you have a notebook where you write important notes. If you lose the notebook, you lose everything. But if you store your notes online (like in a cloud storage service), you can access them from any device. This is how Snowflake helps businesses store and manage data safely online.
2. Data Modeling and ETL Processes
- Data Modeling is the process of organizing data in a structured way so that it is easy to understand and use.
- Just like a library organizes books in different sections, a Snowflake Developer organizes data in a proper format so that people can find the right information quickly.
- ETL (Extract, Transform, Load) Processes involve collecting data from different sources, cleaning it, and then storing it in Snowflake.
- Businesses get data from many places (like websites, sales reports, and customer databases), and Snowflake Developers use ETL tools to make sure this data is correct, clean, and useful.
Example: Imagine you receive fruits from different farms. Some fruits are fresh, and some are rotten. Before selling them, you must pick the best ones, clean them, and arrange them properly. This is what Snowflake Developers do with data – they collect, clean, and store it properly.
3. SQL and Query Performance Tuning
- SQL (Structured Query Language) is a special language used to ask questions and get answers from a database.
- A Snowflake Developer must write SQL commands to search, update, and organize data in Snowflake.
- Query Performance Tuning means making sure that SQL commands run quickly without slowing down the system.
- If a company has huge amounts of data, a slow database can cause problems. Snowflake Developers make sure everything runs smoothly and fast.
Example: Imagine you are searching for a book in a huge library. If the books are not arranged properly, it will take a long time to find what you need. Snowflake Developers make sure the data is well-arranged so that searches happen quickly.
4. Data Security and Compliance
- Data Security means protecting important information so that unauthorized people cannot access it.
- Snowflake Developers set rules and permissions to ensure that only the right people can see, edit, or delete data.
- Compliance means following security rules and regulations set by companies and governments to keep data safe.
- If businesses do not follow these rules, they could face legal problems or data breaches.
Example: Think of a bank locker where people store their valuables. Only the locker owner and authorized bank employees can open it. Similarly, a Snowflake Developer ensures that only the right people can access the company’s important data.
5. Collaboration and Communication
A Snowflake Developer works with many different teams, such as:
- Data Analysts (who study data and find patterns).
- Business Managers (who use data to make company decisions).
- Engineers & IT Teams (who build and maintain software systems).
They must explain technical details in simple words so that everyone understands how to use the data.
Good communication helps the team solve problems quickly and work more efficiently.
Example: Imagine you are a chef in a restaurant. You must work with waiters, kitchen staff, and restaurant managers to serve customers properly. If everyone communicates well, the restaurant runs smoothly. Similarly, Snowflake Developers must talk to different teams to keep data working correctly.
Snowflake Developer Roles and Responsibilities
A Snowflake Developer is a person who works with data and helps companies store, organize, and use data efficiently. Their main job is to handle large amounts of data and make sure businesses can access the right information easily and quickly.
1. Creating and Managing Databases
- A database is like a big storage room where a company keeps all its important data.
- A Snowflake Developer creates and organizes these databases so that data is arranged properly and easy to find.
- They decide where and how data should be stored so that it is safe, organized, and useful.
Example: Imagine you have a big cupboard with many files. If the files are placed randomly, you won’t find what you need quickly. But if you arrange them properly in different sections, you can find any file easily. A Snowflake Developer does the same with company data.
2. Writing SQL Queries to Work with Data
- SQL (Structured Query Language) is a special language that helps fetch, update, or delete information from a database.
- A Snowflake Developer writes SQL commands so that companies can search for important data in seconds.
- If a company has millions of records, a developer makes sure that finding and updating data happens quickly.
Example: Imagine you are searching for a movie on Netflix. When you type the name, Netflix quickly finds the right movie for you. A Snowflake Developer creates search systems for company data, just like Netflix does for movies.
3. Moving Data from Different Sources (Building Data Pipelines)
Companies collect data from many places, such as
- Websites (customer visits, orders, etc.).
- Sales reports (products sold, revenue, etc.).
- Employee records (attendance, salaries, etc.).
- A Snowflake Developer creates pipelines that move this data into Snowflake automatically so that everything stays updated.
Example: Imagine you are filling a big water tank using many pipes. If the pipes are connected properly, water flows smoothly. A Snowflake Developer sets up data pipelines so that data from different sources flows smoothly into Snowflake without mistakes.
4. Making the Database Run Faster (Performance Optimization)
- If a company has a huge amount of data, the database can become slow.
- A Snowflake Developer finds ways to speed up searches and reports.
- They remove unnecessary data, improve the way data is stored, and make sure everything runs smoothly and quickly.
Example: Imagine you are in a crowded grocery store, and you need to find a single item. If the store is well-organized, you will find what you need quickly. If it’s messy, it will take a long time. A Snowflake Developer organizes data properly so that businesses can access the right information quickly.
5. Keeping Data Safe (Security and Access Control)
- Not everyone in a company should have access to sensitive data.
- A Snowflake Developer sets up security rules to protect important data from hackers and unauthorized users.
- They make sure only the right people can see, edit, or delete data.
Example: Imagine a bank locker system. Only the person who owns the locker and a few authorized bank employees can open it. A Snowflake Developer creates security rules to ensure that only the right employees can access certain company data.
6. Creating Reports and Dashboards for Businesses
- Businesses need reports to make good decisions.
- A Snowflake Developer helps generate reports and dashboards using tools like Power BI, Tableau, or Snowflake’s built-in reporting features.
- These reports help managers understand trends, sales, profits, and customer behavior.
Example: Imagine you are a shop owner. If you know which products are selling the most, you can stock more of them. Snowflake Developers help businesses see their data clearly so they can make smart business decisions.
7. Working with Other Teams (Collaboration and Communication)
A Snowflake Developer works with many different teams, including
- Data Analysts (who study data and find patterns).
- Business Managers (who use data to make decisions).
- Software Engineers (who build applications that use data).
- They need good communication skills so they can explain technical things in a simple way.
Example: Imagine you are a chef in a restaurant. You must talk to waiters, kitchen staff, and managers to serve customers properly. A Snowflake Developer works with different teams to ensure that data is used correctly.
Education Qualifications for a Snowflake Developer
A Snowflake Developer is someone who works with data and cloud technology. To become a Snowflake Developer, you need to understand how to store, manage, and process data.
-
Bachelor’s Degree (Recommended but Not Always Necessary)
Many Snowflake Developers have a Bachelor’s degree in subjects related to computers and data. The most useful degrees are
- Computer Science – Teaches about programming, databases, and software development.
- Information Technology (IT) – Helps in understanding how computer systems work.
- Data Science – Focuses on how to analyze and process data.
- Software Engineering – Teaches how to build software applications.
- Mathematics or Statistics – Helps with understanding data and numbers.
A degree is helpful because it teaches you the basic concepts of programming and data management, which are important for a Snowflake Developer.
Example: Think of a Bachelor’s degree like learning to ride a bicycle. It teaches you the basics so that you can start learning advanced things later.
-
Master’s Degree (Optional but Useful for Advanced Roles)
Some people continue their studies and get a Master’s degree in areas like
- Data Science – Helps in understanding data trends and patterns.
- Big Data Analytics – Teaches how to handle large amounts of data.
- Cloud Computing – Focuses on using cloud-based platforms like AWS, Azure, and Google Cloud.
- Business Intelligence – Helps in analyzing business data for better decision-making.
A Master’s degree is not required for most jobs, but it can help you get higher positions and a better salary.
Example: A Master’s degree is like learning to drive a car instead of a bicycle. It gives you more advanced knowledge and allows you to apply for bigger and better jobs.
-
Certifications (Helps You Get a Job Faster)
Even if you don’t have a degree, you can still become a Snowflake Developer by getting certifications. These certifications prove that you have the necessary skills to work with data.
Some of the best certifications for Snowflake Developers are
- Snowflake SnowPro Certification – A special certification that shows you understand Snowflake well.
- AWS, Azure, or Google Cloud Certifications – Since Snowflake runs on cloud platforms, knowing one of these helps a lot.
- SQL Certification – Proves that you can write and manage SQL queries (which are used to work with data).
Data Warehousing Certification – Helps in understanding how data is stored and managed in companies.
Example: A certification is like getting a driving license. Even if you don’t have formal training, the license proves that you know how to drive. Similarly, a certification proves you have the skills to work with Snowflake.
-
Self-Learning and Online Courses (Best for Beginners Without a Degree)
If you do not have a college degree or experience, you can still learn everything online. There are many websites that teach Snowflake, SQL, and data management. Some of the best places to learn include
- Coursera – Offers beginner-friendly courses on data science and cloud computing.
- Udemy – Has many affordable courses on SQL, Snowflake, and data warehousing.
- LinkedIn Learning – Teaches technical skills needed for a Snowflake Developer.
- Snowflake Official Training – Snowflake itself offers training programs for new learners.
Example: Online learning is like learning to cook from YouTube videos instead of going to a cooking school. You can still gain skills and become good at it, even without a formal education.
Learning Important Skills (No Degree Required, Just Practice!)
No matter how you learn, a Snowflake Developer must know some key skills, such as
- SQL (Structured Query Language) – The language used to access and manage data.
- Snowflake Architecture – Understanding how Snowflake works and stores data.
- Cloud Computing (AWS, Azure, Google Cloud) – Since Snowflake is cloud-based, knowing these platforms is useful.
- ETL (Extract, Transform, Load) Processes – How to move data from one place to another.
- Data Warehousing Concepts – Learning how companies store and organize large amounts of data.
Example: Learning these skills is like practicing how to play football. The more you practice, the better you get! Even if you don’t have a formal degree, companies will hire you if you have the right skills.
Snowflake Developer Salary Details
A Snowflake Developer is a person who works with data and cloud technology. Since many companies need experts to manage their data, Snowflake Developers get high salaries.
1. Salary for Beginners (Freshers) – 0 to 2 Years Experience
When you are new to this job and just starting to work as a Snowflake Developer, your salary will be:
- In India: ₹5,00,000 – ₹8,00,000 per year
- In the USA: $70,000 – $90,000 per year
- At this stage
- You are still learning and gaining experience.
- You will do basic tasks like writing SQL queries and helping with small data projects.
- If you have extra skills or certifications, you might get a higher salary than others.
Example: This is like being a new chef in a restaurant. You are still learning how to cook different dishes, but you are getting paid while you learn.
2. Salary for Mid-Level Developers – 2 to 5 Years Experience
After working for 2 to 5 years, your salary increases because you now have more knowledge and experience.
- In India: ₹10,00,000 – ₹18,00,000 per year
- In the USA: $90,000 – $120,000 per year
- At this stage
- You can handle projects on your own and manage large amounts of data.
- You optimize databases so that they run faster and more efficiently.
- You also help junior developers and work on bigger tasks.
Example: Now, you are like a professional chef. You can cook without much help and can even teach others.
3. Salary for Senior Developers – 5+ Years Experience
If you have worked for more than 5 years, you become a senior Snowflake Developer or a Data Architect. Senior developers get the highest salaries.
- In India: ₹20,00,000 – ₹40,00,000 per year
- In the USA: $120,000 – $160,000 per year
- At this stage
- You lead teams and train junior developers.
- You make important decisions about how data is stored and managed.
- You work closely with company leaders to help them understand and use data for business growth.
Example: Now, you are like a master chef who runs a big restaurant and teaches other chefs how to cook.
4. Salary Based on Companies
Different companies pay different salaries based on how much data they handle.
- Tech Companies (Google, Microsoft, IBM) – Pay high salaries because they work with huge amounts of data.
- Finance & Banking (JPMorgan, Citibank) – Pay well because they need to store and protect sensitive financial data.
- Retail & E-Commerce (Amazon, Walmart) – Use Snowflake to analyze customer buying trends and improve sales.
- Healthcare & Pharma (Pfizer, Johnson & Johnson) – Need data experts to store and manage medical research data.
Tip: If you work for a big company, your salary will be higher than if you work for a small company.
5. How to Increase Your Salary?
If you want to earn more money as a Snowflake Developer, you can do these things:
- Get Certifications – SnowPro, AWS, Azure, and Google Cloud certifications will increase your value.
- Learn Advanced SQL and Data Warehousing – Companies pay more for people who know these skills well.
- Work on Real-World Projects – The more experience you have, the higher your salary will be.
- Learn Cloud Technologies – Companies love developers who understand AWS, Azure, and Google Cloud.
Example: If you are a chef and you learn how to make special dishes, restaurants will pay you more
Where to Look for Snowflake Developers?
Online Job Websites
- Companies often post job openings for Snowflake Developers on websites like
- LinkedIn Jobs – Best for hiring professional developers.
- Indeed – A well-known job site with many IT job listings.
- Glassdoor – Shows job openings, salaries, and company reviews.
- com (India) – A popular job site for IT jobs in India.
Freelance Websites (For Short-Term or Part-Time Developers)
- Some companies need Snowflake Developers only for a few months or a specific project. They can hire part-time developers from:
- Upwork – A global website for hiring freelance developers.
- Fiverr – Good for finding affordable freelance developers.
- Toptal – Offers highly skilled developers for complex projects.
Tech Forums & Developer Communities
- Many experienced developers hang out in online tech communities, where companies can find and hire them. Some popular places include
- GitHub – Developers share their work and showcase their skills.
- Stack Overflow – Developers help each other with programming problems.
- Snowflake Community Forum – A special website for Snowflake experts to connect.
IT & Data Science Universities
- Companies looking for new and talented developers often hire from
- Universities that teach IT, data science, or cloud computing.
- Coding bootcamps that train students in Snowflake and data management.
Snowflake Certification Programs
- Some developers take special training and earn certificates to prove they are skilled in Snowflake. Companies can hire from
- Snowflake SnowPro Certification – A special certificate that shows expertise in Snowflake.
- Cloud Training Programs (AWS, Google Cloud, Microsoft Azure) – Many cloud engineers also learn Snowflake.
Most Important Snowflake Developer Skills in 2025
Advanced SQL Proficiency
- SQL (Structured Query Language) is the main language used in Snowflake.
- A Snowflake developer must write, read, and optimize SQL queries to fetch and manage data.
- They should understand joins, subqueries, window functions, and common table expressions (CTEs) to handle complex data tasks.
Example: If you want to find all customers who made purchases last month, you will write an SQL query to fetch that data from the Snowflake database.
Cloud Infrastructure and Services Integration
- Snowflake works on cloud platforms like AWS, Microsoft Azure, and Google Cloud.
- A developer should know how to connect Snowflake with cloud storage (S3, Blob Storage, Google Drive, etc.).
- They should understand how cloud resources are used to store and process large amounts of data.
Example: If your company collects customer data from a website and stores it in AWS S3, a Snowflake developer should know how to pull that data into Snowflake for analysis.
Data Modeling and Warehousing Strategies
- Data modeling means organizing data properly so that it is easy to retrieve and analyze.
- Snowflake developers should know about Star Schema, Snowflake Schema, and Normalization
- They must also design tables and databases efficiently to improve performance and reduce storage costs.
Example: Just like organizing a library into sections (fiction, history, science), data should be stored in a structured way to make searching easy.
Security and Compliance Awareness
- Snowflake provides strong security features to protect data.
- Developers should know about user access control, role-based security, and encryption techniques to keep data safe.
- Understanding GDPR, HIPAA, and other data protection laws is also important for companies handling sensitive information.
Example: A banking application using Snowflake must ensure that only authorized employees can view customer transaction data.
ETL and Data Pipeline Optimization
- ETL (Extract, Transform, Load) is the process of moving data from different sources into Snowflake.
- Developers should know how to load large datasets quickly and efficiently.
- Optimizing data pipelines ensures that data is always fresh and accurate.
Example: A Snowflake developer should set up a pipeline where sales data from multiple stores automatically updates in Snowflake every night.
Scripting and Automation
- Snowflake supports Python, JavaScript, and Shell scripting for automating tasks.
- Developers should be able to write scripts for data movement, monitoring, and automatic report generation.
- Using Stored Procedures and Snowflake Tasks, developers can schedule and automate database jobs.
Example: A script can be written to delete old data every month to free up space and reduce costs.
Performance Tuning and Cost Management
- Developers must optimize queries so that they run faster and use fewer resources.
- Auto-Suspend and Auto-Resume features in Snowflake help in reducing costs by shutting down warehouses when not in use.
- Monitoring query performance and storage usage is crucial to prevent unnecessary expenses.
Example: If a company’s Snowflake bill is too high, a developer can find slow queries and optimize them to use less computing power.
Collaboration and Cross-Functional Teamwork
- A Snowflake developer must work with data analysts, data scientists, and business teams.
- They should understand business needs and create data solutions
- Good communication and teamwork skills help in explaining technical details to non-technical people.
Example: A Snowflake developer may work with a marketing team to help analyze customer behavior and improve marketing strategies
Conclusion
Snowflake is a powerful cloud-based data platform used by many big companies to store, manage, and analyze large amounts of data. A Snowflake Developer plays an important role in handling data efficiently and ensuring it is secure, fast, and easy to access.
To become a successful Snowflake Developer, you need to learn important skills like SQL, cloud computing, data modeling, security, ETL processes, automation, and performance tuning. These skills help in making data processing faster, reducing costs, and improving business decisions.
Many industries, like banking, healthcare, retail, and technology, are hiring Snowflake developers. The demand for skilled professionals is growing, and salaries are high, especially for those who master advanced features of Snowflake.
If you want to start a career in Snowflake development, focus on learning SQL, understanding cloud platforms (AWS, Azure, Google Cloud), and improving your problem-solving skills. Working on real projects, practicing interview questions, and getting certifications can help you get a good job.
FAQS
1: Why do companies prefer Snowflake over traditional databases?
- Companies choose Snowflake because
- It is fully managed – No need for database maintenance.
- It is fast and scalable – Handles large data loads easily.
- It works with multiple cloud platforms – AWS, Azure, and Google Cloud.
- It supports structured and semi-structured data – JSON, Parquet, etc.
Example: Traditional databases are like buying and maintaining a personal car, while Snowflake is like using Uber – you get what you need without extra maintenance work.
2: What are Micro-Partitions in Snowflake?
Micro-partitions are small chunks of data automatically created by Snowflake when you insert data. These help in better performance and faster queries.
Example: Think of a library that stores books in smaller sections rather than one huge pile. This makes it easier to find the book you need.
3: What are Snowflake Stages? How many types are there?
- Snowflake Stages are storage areas where data is temporarily stored before loading into a table. There are three types:
- User Stage – Each user gets a private space.
- Table Stage – A temporary space linked to a table.
- External Stage – Data stored in AWS S3, Azure Blob, or Google Cloud Storage.
Example: Imagine a loading dock in a warehouse where items are kept before they go to shelves.
4: How does Snowflake handle large datasets efficiently?
· Snowflake uses multiple techniques to manage large data efficiently
· Columnar Storage – Stores data in columns instead of rows for faster access.
· Clustering & Partitioning – Organizes data automatically for quick searching.
· Query Caching – Saves previous query results to avoid unnecessary computation.
Example: It’s like using pre-sorted grocery shelves instead of randomly placing items, making it easier to find what you need.
5: What is Auto-Suspend and Auto-Resume in Snowflake?
- Auto-Suspend – Stops a virtual warehouse when it’s not in use to save costs.
- Auto-Resume – Starts a warehouse automatically when a query is run.
Example: Think of a motion-sensor light that turns on when someone enters and turns off when no one is around.
6: How do you identify and fix slow-running queries in Snowflake?
- You can improve slow queries by
- Checking the Query Profile for execution details.
- Using Clustering Keys for better data organization.
- Increasing the Warehouse Size for heavy computations.
Example: If a website is loading slowly, you check network speed, optimize images, or upgrade servers – just like in Snowflake, you analyze the query execution plan and optimize it.
7: How do you control user access in Snowflake?
- You control access using
- Roles & Privileges – Assign different permissions to users.
- Row-Level Security – Restrict data access based on conditions.
- Multi-Factor Authentication (MFA) – Adds an extra layer of security.
Example: Think of a bank vault – only certain employees have access to specific lockers, just like users in Snowflake.
8: What is Dynamic Data Masking in Snowflake?
Dynamic Data Masking hides sensitive data for users who do not have permission to view it.
Example: When you swipe your credit card at a store, only the last 4 digits appear on the receipt. The rest is masked for security reasons.
9: What is Snowflake Data Sharing?
Snowflake allows different teams or businesses to share data without copying it. This saves storage space and processing time.
Example: Instead of sending email attachments, you give someone viewing access to a Google Doc, so they always see the latest version.