Snowflake Jobs in Hyderabad
- Snowflake jobs in Hyderabad are a career option for data engineers, cloud professionals, SQL developers, and fresh graduates interested in data warehousing and analytics.
- You can find roles involving Snowflake development, ETL/ELT pipelines, cloud data platforms, and data architecture.
- The right preparation depends on your experience, technical skills, and the type of job you want.
- If you are preparing for these roles, you can learn the required Snowflake and data engineering skills through Snowflake Training in Hyderabad at Brolly Academy.
-
Aparna Adumulla
- No Comments
Table of Contents

Listen to This Guide: Snowflake Jobs in Hyderabad
Don’t have time to read? Listen to this quick audio summary to learn about Snowflake jobs in Hyderabad, available job roles, required skills, fresher opportunities, salary factors, interview preparation, and how to become job-ready for a Snowflake career.
Overview: Snowflake Jobs in Hyderabad
- Snowflake-related jobs are available in Hyderabad, including positions specifically focused on Snowflake and broader data engineering roles that use Snowflake.
- The table below gives you a quick overview of the main job roles, their work, required skills, and suitable candidates.
| Job Role | Typical Experience | Main Work | Important Skills | Suitable For |
|---|---|---|---|---|
| Snowflake Developer | 1–3+ years | Build queries, transformations and data solutions in Snowflake. | SQL, Snowflake, ETL/ELT, data modeling. | Beginners with strong fundamentals and experienced developers. |
| Snowflake Data Engineer | 2–5+ years | Build and maintain data pipelines and workflows. | SQL, Python, Snowflake, ETL/ELT, cloud. | Data engineering professionals. |
| Snowflake Administrator | 2–5+ years | Manage users, access, security and Snowflake environments. | Snowflake administration, RBAC, security, monitoring. | Database and cloud professionals. |
| Data Analyst | 0–3+ years | Analyze data and create reports or dashboards. | SQL, BI tools, data analysis, Snowflake. | Freshers and analysts with SQL skills. |
| ETL Developer | 1–5+ years | Move and transform data between systems. | SQL, ETL tools, Snowflake, data warehousing. | ETL and database professionals. |
| Cloud Data Engineer | 2–6+ years | Design cloud-based data pipelines and platforms. | Snowflake, SQL, AWS/Azure/GCP, Python. | Data and cloud professionals. |
| Snowflake Consultant | 3–7+ years | Help organizations implement or improve Snowflake solutions. | Snowflake, migration, architecture, client communication. | Experienced professionals. |
| Snowflake Architect | 5+ years | Design large-scale data platform architecture. | Snowflake, cloud architecture, security, data modeling. | Senior data professionals. |
| BI Developer | 1–5+ years | Build reports and dashboards using data from Snowflake. | SQL, Snowflake, Power BI/Tableau. | BI and analytics professionals. |
| Analytics Engineer | 2–5+ years | Prepare reliable data for analytics and reporting. | SQL, Snowflake, dbt, data modeling. | Analytics and data professionals. |
Experience ranges are indicative, not fixed hiring requirements. Actual eligibility depends on the employer and job description.
Quick points to remember
- For beginners: Start with SQL, learn Snowflake basics, and build one or two practical projects. Look for Junior Data Engineer, ETL Developer, and entry-level Data Engineer roles.
- For experienced professionals: Your existing SQL, ETL, cloud, database, or data engineering experience may help you qualify for Snowflake-related roles.
- For job searches: Do not search only for “Snowflake Developer.” Also look for Data Engineer, ETL Developer, and Data Warehouse Developer vacancies that mention Snowflake.
- For salary: Compensation depends on the job title, experience, technical skills, and employer. Check the specific vacancy and compare similar roles.

Are There Snowflake Jobs in Hyderabad?
- Yes. Snowflake-related jobs are available in Hyderabad, including both jobs with Snowflake in the title and wider data engineering roles that use the platform.
- A LinkedIn job search dated September 17, 2026 showed listings from TCS, Anblicks, IBM, Keyloop, and other employers.
- The important point for job seekers is that not every employer uses the exact title “Snowflake Developer.” Some companies advertise for Data Engineer, Data Platform Engineer, or Data Engineer – Data Platforms – Snowflake. Searching only one title can make you miss relevant openings.
What Types of Snowflake Jobs Are Available in Hyderabad?
- Snowflake is used for storing, transforming, and analyzing data. Different job roles handle different parts of that work.
- Snowflake Developer
Builds SQL queries, data transformations, tables, and Snowflake-based data solutions. Anblicks’ Hyderabad listing asks for Snowflake, SQL, data pipelines, and optimization skills.
Search: Snowflake Developer Hyderabad - Snowflake Data Engineer
Works on data pipelines, data loading, transformation, validation, and warehouse development. The role usually combines Snowflake with SQL and other data engineering tools.
Search: Snowflake Data Engineer Hyderabad - ETL Developer
Extracts data from sources, transforms it, and loads it into a data warehouse. Some ETL Developer roles use Snowflake as the destination platform.
Search: ETL Developer Snowflake Hyderabad - Analytics Engineer
Prepares reliable datasets for reporting and analytics. This work may include SQL transformations, data modeling, and tools such as dbt.
Search: Analytics Engineer Snowflake Hyderabad. - Snowflake Administrator
Manages users, access, warehouses, monitoring, security, and platform support. Infosys’ Hyderabad Snowflake Administrator listing includes access control, performance, cost management, and data loading support.
LinkedIn Jobs
Search: Snowflake Administrator Hyderabad
Other relevant titles include Data Warehouse Developer, Data Platform Engineer, BI Data Engineer, and Snowflake Technical Lead. Always check the actual job description because two roles with the same title may have different duties.

Which Companies and Industries Hire Snowflake Professionals in Hyderabad?
Snowflake professionals can explore opportunities in IT services, consulting, banking, healthcare, retail, and technology companies. Employers may use Snowflake for reporting, business analysis, data integration, and cloud data platform operations.
The following companies have verifiable Snowflake-related job listings or relevant roles.
| Company | Industry | Snowflake-Related Role or Evidence |
|---|---|---|
| Apple | Technology | Snowflake Data Engineer – Ads, Hyderabad, August 2026. Careers at Apple |
| State Street | Financial Services | Snowflake Platform Engineer, Hyderabad. State Street Careers |
| Optum | Healthcare and Technology | Senior Data Engineering Consultant – Snowflake, Hyderabad, September 2026. Snowflake-related opportunities at UnitedHealth Group. |
| Ventra Health | Healthcare Services | Snowflake Data Engineer, Hyderabad. Careers at IN – Hyderabad SDC. |
| Elevance Health | Healthcare | Snowflake-related engineering and team-lead listings that include Hyderabad. |
Which companies pay higher salaries?
- Salary information should be checked for the specific job, not assumed from the company name.
- For example, Glassdoor’s Hyderabad salary data includes reported compensation for Snowflake-related roles at several employers, including Accenture, Anblicks, DXC Technology, and HCLTech. The reported figures differ by job title and experience.
- A company offering a higher salary for a senior engineer does not mean it will offer the same compensation to a fresher.
- Before applying, check the job level, required experience, responsibilities, location, and whether the advertised compensation is base salary or total compensation.
Can a Fresher Get a Snowflake Job in Hyderabad?
- Yes, a fresher can enter the Snowflake-related job market, but opportunities depend on the employer’s eligibility requirements and the candidate’s practical skills.
- Many entry-level positions are advertised as Junior Data Engineer, ETL Developer, Associate Data Engineer, or Graduate Engineer rather than Snowflake Developer.
- Some employers accept candidates with basic SQL and project knowledge, while others require previous experience.
- Snowflake also provides university recruiting opportunities for students, recent graduates and interns.
| Experience | Relevant Role Examples | Salary Information (Expected Annual CTC) | Important Note |
|---|---|---|---|
| Fresher (0–1 year) | Junior Data Engineer, ETL Developer | ₹3.5–6 LPA as a broad entry-level estimate; fresher-specific Snowflake data is limited. | Depends on the entry-level role, employer, SQL skills, and practical projects. |
| 1–3 years | Data Engineer, Snowflake Developer | ₹5–12 LPA as an indicative range. | Hyderabad salary data for these exact titles is limited; compare recent listings for the same role and experience. |
| 3–5 years | Snowflake Developer, Data Engineer | ₹8–18 LPA as an indicative range. | Strong SQL, data pipelines, performance tuning, and cloud experience may affect the offer. |
| 5+ years | Senior Data Engineer, Platform Engineer | ₹15–30+ LPA as a broad estimate for experienced roles. | Senior roles can vary substantially; check base pay, bonuses, and other benefits separately. |
- Freshers should focus on learning SQL, understanding data warehousing, and building a project that demonstrates how data moves from a source into Snowflake.
- If you are a beginner and want structured learning, you can explore Snowflake Training in Hyderabad to build your foundation and practice Snowflake concepts through projects.
- An internship or related entry-level job can also help build practical experience. However, completing a course or certification does not guarantee a job or placement.

How Much Do Snowflake Professionals Earn in Hyderabad?
- Snowflake salaries in Hyderabad vary by experience, job title, company, technical skills, and responsibilities.
- A salary estimate should distinguish between Snowflake-specific positions and broader Data Engineer roles.
Public salary websites also use different methods, including employee-submitted salaries and employer-provided figures. - The following table provides a practical way to understand salary information without treating estimates as guaranteed offers.
| Experience | Relevant Role Examples | Salary Information (Expected Annual CTC) | Important Note |
|---|---|---|---|
| Fresher (0–1 year) | Junior Data Engineer, ETL Developer | ₹3.5–6 LPA as a broad entry-level estimate; fresher-specific Snowflake data is limited. | Depends on the entry-level role, employer, SQL skills, and practical projects. |
| 1–3 years | Data Engineer, Snowflake Developer | ₹5–12 LPA as an indicative range. | Hyderabad salary data for these exact titles is limited; compare recent listings for the same role and experience. |
| 3–5 years | Snowflake Developer, Data Engineer | ₹8–18 LPA as an indicative range. | Strong SQL, data pipelines, performance tuning, and cloud experience may affect the offer. |
| 5+ years | Senior Data Engineer, Platform Engineer | ₹15–30+ LPA as a broad estimate for experienced roles. | Senior roles can vary substantially; check base pay, bonuses, and other benefits separately. |
Salary note: These are approximate ranges to help readers understand possible salary levels—not guaranteed or official salary bands. Glassdoor’s Hyderabad data reports an average of about ₹9 LPA for Snowflake Data Engineers, but its submitted salaries vary and the sample is limited. A separate Snowflake salary guide gives higher experience-based ranges, so the figures above should be treated as broad estimates rather than exact predictions.
What affects Snowflake salary?
Employers may consider:
- Years of relevant experience.
- SQL and Snowflake knowledge.
- Python, ETL/ELT, and cloud skills.
- Experience building production data pipelines.
- Data modeling and performance tuning.
- Interview performance and the responsibilities of the role.
When comparing offers, check annual CTC, fixed base salary, variable pay, bonuses, and benefits separately.
Snowflake Jobs in Hyderabad: Fresher vs Experienced Candidate
Freshers and experienced professionals may apply for similar job titles, but employers usually look for different evidence.
| Factor | Fresher | Experienced Candidate |
|---|---|---|
| Job Titles | Junior Data Engineer, ETL Developer | Snowflake Developer, Senior Data Engineer |
| Skills | SQL, Snowflake basics, Python fundamentals | Advanced SQL, data pipelines, cloud, troubleshooting |
| Experience | Academic projects, internships | Previous work and production projects |
| Project Requirements | One or two complete practical projects | Examples of real business problems solved |
| Interview Focus | Fundamentals and problem-solving | Technical depth, project decisions, and system issues |
| Job Search Approach | Graduate roles, internships, entry-level vacancies | Relevant roles matching existing experience |
- A fresher should explain what they built, how they used SQL, and how they checked the output.
- An experienced professional should explain their contribution to previous projects, the tools they used, the problems they solved, and the results they achieved.
What Skills Do You Need for Snowflake Jobs?

Snowflake-related jobs require a combination of database, data engineering, and cloud skills. You do not need to master every advanced tool before beginning, but you should understand the skills required for your target role.
| Skill | What You Should Learn | How It Helps in a Job |
|---|---|---|
| SQL | Joins, grouping, subqueries, window functions | Query and transform data |
| Snowflake Fundamentals | Databases, schemas, tables, warehouses | Work with the Snowflake platform |
| Data Warehousing | Facts, dimensions, data organization | Prepare data for reporting |
| ETL and ELT | Data extraction, transformation, and loading | Build data pipelines |
| Cloud Fundamentals | AWS, Azure, or Google Cloud basics | Understand cloud data systems |
| Python | Basic scripting, files, and data processing | Automate data tasks |
| Git | Version control and basic collaboration | Track and manage code changes |
| Data Modeling | Organizing data into useful structures | Support reliable reporting |
| Troubleshooting | Read errors and check data quality | Identify and fix pipeline problems |
- Start with SQL and data warehousing. Then learn Snowflake by practicing how to create tables, load data, write queries, and transform information.
- These skills can be developed through structured learning and hands-on practice. You can explore the Snowflake course in Hyderabad to learn Snowflake, SQL, data warehousing, ETL/ELT and related concepts.
Snowflake Skills Employers Usually Look For
Employers commonly describe Snowflake-related roles through a combination of technical skills and practical experience.
For example, the State Street Snowflake Platform Engineer listing includes Snowflake, Microsoft Azure, Terraform, Azure DevOps, Git, security, and platform automation.
Other data engineering roles may focus more on SQL, Python, ETL/ELT, data modeling, and pipeline development.
How to read a job description
When you find a vacancy:
- Check the minimum experience and education requirements.
- Identify the main technical skills listed in the responsibilities.
- Separate required skills from preferred skills.
- Compare the requirements with your existing knowledge.
- Apply if you meet the essential requirements and can demonstrate relevant skills.
One job description does not represent every employer. A candidate does not need to learn every tool mentioned in every Snowflake vacancy.

How Much Experience Is Needed for Snowflake Jobs?
Experience requirements vary by company and job level. Some positions accept candidates with basic knowledge and project experience, while others require several years of professional data engineering work.
| Role Level | Typical Experience | What Employers May Expect |
|---|---|---|
| Fresher or Graduate | No full-time experience | SQL fundamentals, learning ability, projects |
| Junior Data Engineer | Entry-level to early career | SQL, basic pipelines, data loading |
| Mid-level Developer or Engineer | Often around 2–5 years | Independent development, troubleshooting, cloud and ETL skills |
| Senior Data Engineer | Often 5+ years | Complex pipelines, design decisions, performance, teamwork |
These are general career-level descriptions, not fixed hiring rules. Relevant previous experience in ETL, databases, cloud systems, or analytics may count toward a Snowflake-related role.
How to Become Job-Ready for Snowflake Jobs in Hyderabad
Follow this practical learning roadmap to build the skills needed for entry-level or experienced Snowflake-related positions.
- Learn SQL
Practice filtering, joins, grouping, subqueries, and window functions. You should be able to write queries and explain the results. - Understand data warehousing
Learn how databases, tables, facts, dimensions, and reporting data work together. - Learn Snowflake fundamentals
Practice creating databases, schemas, tables, and virtual warehouses. Learn how to load and query data. - Practice data loading and transformations
Work with sample files, load them into Snowflake, clean the data, and create useful tables. - Learn ETL/ELT and cloud basics
Understand how data moves between systems. Learn the basic purpose of AWS, Azure, or Google Cloud. - Build a practical project
Complete one project from raw data to a useful reporting output. Keep your SQL scripts and project explanation ready. - Prepare your resume and LinkedIn profile
Include relevant skills, projects, internships, and previous work. Describe what you actually completed. - Practice interviews
Review SQL questions, Snowflake fundamentals, project decisions, and problem-solving. - Start applying
Search for suitable Snowflake, Data Engineer, Junior Data Engineer, and ETL Developer roles in Hyderabad. - If you want guided practice while building these skills, explore Snowflake Training in Hyderabad at Brolly Academy, which includes hands-on projects, SQL practice and interview preparation.

Beginner project idea: Sales Data Analysis Using Snowflake
Portfolio project
Problem statement: A business receives sales information from different stores. It needs a clean dataset to understand sales by product, location, and month.
Data source: A public sample sales CSV dataset or a self-created sample dataset.
Tools: Snowflake, SQL, CSV files, and a spreadsheet or reporting tool.
Project workflow
- Download or prepare a sample sales dataset.
- Create a database, schema, and tables in Snowflake.
- Load the CSV data into Snowflake.
- Check missing values, duplicates, and incorrect records.
- Use SQL to calculate sales by month, product, and store.
- Create a final reporting table and visualize the results.
The expected output is a clean sales dataset and a set of SQL queries that answer useful business questions.
During an interview, explain the original problem, the data source, how you loaded and cleaned the data, the SQL queries you wrote, and how you checked whether the results were correct.
Snowflake Interview Preparation
Snowflake interviews may include SQL exercises, questions about data warehousing, practical project discussions, and questions about previous work.
Prepare for these areas:
| Interview Area | Example Question | What It Checks |
|---|---|---|
| SQL | How do you find duplicate records? | Query writing and data quality |
| Snowflake | What is a virtual warehouse? | Platform fundamentals |
| Data Warehousing | What is the difference between a fact table and a dimension table? | Data organization |
| ETL/ELT | How would you load and clean a CSV file? | Data processing |
| Projects | Explain a problem you solved using SQL. | Practical understanding |
| Previous Experience | Describe a difficult data issue you handled. | Work experience and problem-solving |
| HR | Why are you interested in this role? | Communication and career goals |
Do not prepare only by memorizing answers. Practice writing SQL queries and explaining your reasoning in simple words. For experienced roles, be ready to explain your own contribution to previous projects.
For a deeper understanding of what to expect, explore these Snowflake interview questions and prepare for common technical and practical topics.
How to Find Snowflake Jobs in Hyderabad
- You can find Snowflake-related vacancies through job portals, employer career pages, and professional networking.
- Where to search
- Naukri — Search jobs and set Hyderabad as your preferred location.
- LinkedIn — Search job listings and use job alerts.
- Official company career pages — Search directly on the employer’s website.
- Referrals — Connect with professionals working in data engineering and related fields.
If you are interested in working directly for Snowflake, you can check the company’s official careers page for current openings and application information.
| Search Keyword | When to Use It |
|---|---|
| Snowflake Developer Jobs in Hyderabad | Direct Snowflake development roles |
| Snowflake Data Engineer Jobs in Hyderabad | Snowflake-focused data engineering |
| Data Engineer Jobs in Hyderabad | Broader data engineering roles |
| ETL Developer Jobs in Hyderabad | ETL and data pipeline roles |
| Snowflake Jobs for Freshers in Hyderabad | Entry-level opportunities |
Check the posting date, required experience, location, and application deadline. Apply through the official employer website whenever possible, and avoid vacancies that ask for payment in exchange for a job.
If you are interested in working directly for Snowflake, you can check the company’s official careers page for current openings and application information.
Frequently Asked Questions
1. Are there Snowflake jobs in Hyderabad?
Yes. Employer career pages have listed Snowflake-related engineering and platform roles in Hyderabad. Availability changes, so check current vacancies before applying.
2. Can a fresher get a Snowflake job in Hyderabad?
Yes, some entry-level data engineering and ETL roles may be suitable for freshers. SQL knowledge, practical projects, and meeting the employer’s eligibility requirements can help.
3. What skills are required for Snowflake jobs?
SQL, Snowflake fundamentals, data warehousing, and ETL/ELT are important. Python, cloud knowledge, and data modeling are useful for many roles.
4. What is the salary of a Snowflake fresher in Hyderabad?
A dependable, verified fresher-specific salary range is not established by the salary sources used in this article. Check the compensation offered for the exact entry-level role.
5. What is the salary of an experienced Snowflake professional?
It depends on experience, job title, company, and technical skills. Public salary data provides broad indicators, but individual offers may differ.
6. Which companies hire Snowflake professionals in Hyderabad?
Examples with Snowflake-related listings include Apple, State Street, Optum, Ventra Health, and Elevance Health. Their current openings and eligibility requirements should be checked individually.
7. How much experience is needed for Snowflake jobs?
Some entry-level roles accept candidates with projects and basic skills, while senior roles generally require relevant professional experience. Requirements differ by employer.
8. Is SQL necessary for Snowflake jobs?
SQL is a core skill for many Snowflake Developer and Data Engineer positions. Candidates should practice writing queries, joining tables, and transforming data.
9. What projects should I build for a Snowflake job?
A sales data analysis project is a useful starting point. It can demonstrate data loading, cleaning, SQL transformations, and reporting.
10. Where can I find Snowflake jobs in Hyderabad?
Search Naukri, LinkedIn, and official company career pages. Use both Snowflake-specific and broader Data Engineer search terms.
11. What is the difference between a Snowflake Developer and a Data Engineer?
A Snowflake Developer focuses on development and data transformation within Snowflake. A Data Engineer may also build the wider pipelines that collect and move data from other systems.
12. Can a non-IT graduate learn Snowflake?
A non-IT graduate can begin learning SQL and Snowflake fundamentals. Whether they qualify for a particular job depends on the employer’s education and technical requirements.
13. Which cloud skills are useful for Snowflake jobs?
AWS, Microsoft Azure, and Google Cloud fundamentals can be useful. The preferred cloud platform depends on the employer’s technology stack.
14. Is Python required for Snowflake jobs?
Not every role requires Python. It is useful for scripting, data processing, and building or supporting data pipelines.
15. How long does it take to become job-ready for a Snowflake role?
There is no fixed learning period for everyone. It depends on your starting knowledge, practice time, project work, and the requirements of your target roles.
16. What should a Snowflake fresher include in a resume?
Include SQL, Snowflake, relevant technical skills, projects, internships, and education. Explain your actual project work rather than listing tools you have not used.
17. Are Snowflake jobs available for candidates with ETL experience?
Yes. ETL experience can be relevant to Snowflake development and data engineering roles. Check whether the vacancy also requires Snowflake-specific experience.
18. What are common Snowflake interview questions?
Questions may cover SQL, data warehousing, data loading, Snowflake fundamentals, and project experience. The exact questions vary by employer
19. Is Snowflake certification necessary to get a job?
Certification is not a universal requirement. Some employers may value it, but practical skills and relevant experience also matter.
20. What is the career path after becoming a Snowflake Developer?
Possible career paths include Senior Snowflake Developer, Data Engineer, Senior Data Engineer, Data Platform Engineer, and Data Architect. Progress depends on experience, skills, and the roles available.
21. What should I do if I am not getting interview calls?
Review the jobs you applied for and compare their repeated requirements with your resume. Improve missing skills, make your project section clearer, use relevant job titles when searching, and apply to roles that match your actual experience.
22. Where can I learn Snowflake?
Snowflake provides official documentation, tutorials, and learning resources. Start with the official material and then practice by building your own projects.
Final Takeaway: Is Snowflake a Good Career Choice in Hyderabad?
- Snowflake-related jobs in Hyderabad cover several career paths, including development, data engineering, ETL, platform engineering, and analytics.
- For freshers, the practical starting point is SQL, data warehousing, Snowflake fundamentals, and a complete project. Experienced professionals can build on their existing database, ETL, cloud, or data engineering experience.
- Salary and eligibility vary across employers, so use current job descriptions and salary data when making career decisions.
- Your next step: Choose one suitable job title, identify its required skills, and build a learning and project plan around those requirements.
Want to learn Snowflake? Explore Snowflake training and career-focused learning programs from Brolly Academy.
Conclusion
- Snowflake jobs in Hyderabad are available across roles such as Snowflake Developer, Data Engineer, ETL Developer, Analytics Engineer, and Senior Data Engineer. The right role depends on your experience, technical skills, and career goals.
- For freshers, building a strong foundation in SQL, Python, data warehousing, ETL concepts, and Snowflake can help you prepare for entry-level data roles. Professionals with experience can strengthen their profile by learning Snowflake architecture, data pipelines, performance optimization, cloud platforms, and advanced data engineering skills.
- Salary can vary based on experience, job role, company, and skills, so it is better to compare recent job openings and salary information for the exact position you are targeting.
- If you want to build a career in Snowflake, focus on practical skills, work on real-world projects, understand how Snowflake is used in data engineering, and regularly check Snowflake jobs in Hyderabad to understand what employers are looking for.

Brolly Academy Team
AI, Data Science & Software Training Experts | 20+ Years of Training Experience
Brolly Academy Team is a group of AI, Data Science, Cloud Computing, and Software Development professionals dedicated to helping learners gain practical skills and industry knowledge. Since 2015, Brolly Academy has supported thousands of students and professionals through technology training, certification guidance, and career-focused learning.










