HCLTech
Snowflake Analytics Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
Role: Snowflake Analytics Engineer
Experience Level Required in Years: 8-10 years
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Mandatory Required Skills
- Expert Snowflake knowledge and advanced dbt (Core/Cloud) experience.
- Modelling Concepts: Semantic Modelling, Dimensional Modelling (Kimball), Business/Logical/Physical Modelling.
- Skills: Software engineering mindset applied to SQL; git workflows, and automated testing.
Please share the Detailed Job Description
Key Responsibilities
- Build and maintain scalable modular data models using dbt inside Snowflake.
- Transition complex, unoptimized Teradata views into high-performance Snowflake tables.
- Implement data quality testing, version control (Git), and CI/CD pipelines for analytics code.
- Manage Snowflake warehouse optimization, access controls (ABAC), and query performance tuning.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Technical Requirements
- Core Platforms: Expert Snowflake knowledge and advanced dbt (Core/Cloud) experience.
- Modeling Concepts: Semantic Modeling, Dimensional Modeling (Kimball), Business/Logical/Physical Modelling.
- Skills: Software engineering mindset applied to SQL; git workflows, and automated testing.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location