
Snowflake
Data Engineer at Snowflake
Snowflake is hiring a Data Engineer in IN-Pune. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.
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1. Job details
Snowflake
Data Engineer
IN-Pune
Not disclosed by employer
See the job description
On the employer’s site
2. Job description from Snowflake
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
We are looking for a Data Engineer to help build and operate the data pipelines and models that power internal decision-making on the Snowflake AI Data Cloud. You will work alongside senior engineers, learn our platform from the inside as customer zero, and grow your ownership of production data products over time.
AS A DATA ENGINEER AT SNOWFLAKE, YOU WILL:
– Build and maintain production data pipelines and models on Snowflake, from ingestion through transformation and consumption
– Develop dbt models with tests and documentation that follow team standards and governance practices
– Build and support Apache Airflow DAGs that orchestrate Snowflake workloads reliably
– Ingest data from enterprise sources using Snowpipe, Snowpark, and dynamic tables
– Apply data quality checks and help monitor Snowflake warehouse cost and performance
– Act as an internal customer zero, sharing feedback on Snowflake features with Product teams
– Take part in Agile ceremonies including stand ups, sprint planning, reviews, and retrospectives
– Partner with stakeholders and senior engineers to turn well-defined requirements into scoped technical tasks
OUR IDEAL DATA ENGINEER WILL HAVE:
– Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
– 3+ years of hands-on experience building data pipelines or data models in a production environment
– Strong SQL and working Python skills, including basic query tuning and schema design
– Hands-on experience with a cloud data warehouse, ideally Snowflake
– Working knowledge of dbt and an orchestration tool such as Apache Airflow
– Understanding of dimensional modelling concepts
– Clear written and verbal communication and a collaborative, curious approach to learning
– Ownership mindset: you follow problems through to resolution and ask for help when needed
BONUS POINTS FOR THE FOLLOWING:
– Exposure to Snowflake Cortex AI functions or other LLM APIs for data enrichment
– Experience preparing data for ML model training or feature engineering
– Familiarity with streaming ingestion such as Kafka or Snowpipe Streaming
– Experience with AWS, Azure, or GCP, including infrastructure-as-code
– Awareness of data contracts or schema registry tooling
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com
3. Skills that usually matter in data and AI roles
General guidance from TechJobs360, not part of Snowflake’s posting. The job description above is what counts for this role.
| Area | What to be comfortable with |
|---|---|
| Languages | Python, SQL, Scala |
| Frameworks & tools | Spark, pandas, PyTorch / TensorFlow, Airflow, a cloud data warehouse |
| Computer science basics | Data structures, algorithms, complexity |
| Ways of working | Version control, code review, testing, reading other people's code |
4. How to prepare for a Data Engineer interview
Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:
A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.
Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.
Often design and trade-off questions sized to the role: an API, a component, or a small system.
Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.
5. Take-home pay example (FY 2026–27, new tax regime)
An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.
| Component | Example: ₹12 LPA | Example: ₹24 LPA |
|---|---|---|
| Basic salary (40% of CTC) | ₹40,000 / mo | ₹80,000 / mo |
| Employee EPF (12% of basic) | -₹4,800 / mo | -₹9,600 / mo |
| Income tax (TDS) | -₹6,933 / mo | -₹32,450 / mo |
| Professional tax | -₹200 / mo | -₹200 / mo |
| Approx. in-hand | ₹81,344 / mo | ₹1,44,304 / mo |
Work out the take-home pay for your own offer, in either tax regime.
6. Questions and how to apply
How do I apply?
Use the apply button below. It opens Snowflake’s own application page.
Does TechJobs360 recruit for this job or charge a fee?
No. We list openings from employers’ career sites. Snowflake runs the hiring, and nobody should ask you to pay to apply.
Is this job still open?
We check listings against the employer’s page every day and take down jobs that have closed.
Should I apply if I don’t match every requirement?
Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.
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