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🗄️ Database Engineers & DBAs

Hire Dedicated Snowflake Engineers — India, US, UK & Australia

Hire pre-vetted Snowflake engineers who build clean, cost-efficient cloud data warehouses and pipelines. Golonex places dedicated India-based Snowflake engineers with US, UK, Australian, and Indian teams — working in your timezone, under NDA, onboarded within one week and with no lock-in.

The role

What a Snowflake Engineer does

A Snowflake engineer designs and operates data warehouses on Snowflake — modelling schemas, building ELT pipelines, and controlling warehouse cost. Day to day they size and tune virtual warehouses, build ingestion with Snowpipe, Streams, and Tasks, transform data with dbt, apply clustering and query tuning, and manage governance with RBAC, masking, and secure data sharing.

Core expertise

Snowflake data warehouse Virtual warehouse sizing & tuning Snowpipe & continuous ingestion Streams & Tasks Snowpark (Python/SQL) dbt modelling Clustering keys & micro-partitions Query profiling & optimisation RBAC & dynamic data masking Secure data sharing & Marketplace Time Travel & zero-copy cloning Cost & credit optimisation External tables & stages CI/CD for data (dbt + Git)
Outcomes

What a Golonex Snowflake Engineer builds for you

Well-modelled data warehouses and dimensional schemas
ELT pipelines with Snowpipe, Streams, and Tasks
dbt transformation projects with tests and documentation
Warehouse sizing and query tuning that cuts credit spend
Governed access with RBAC, masking, and secure sharing
Snowpark workloads for in-warehouse data processing
Engagement

How it works

Engagement models

Full-time dedicated Part-time / hourly Remote Hybrid Onsite (US · UK · India)

Based in India, working in your timezone. Onsite options available across the US, UK, and India.

Category

🗄️

Database Engineers & DBAs

Demand: High demand
Why Golonex for Snowflake Engineers

The Golonex difference

Named, pre-vetted engineers

Every Snowflake Engineer is screened for technical depth, communication, and reliability before you meet them — a sub-30% pass rate at the technical stage.

Integrated within 1 week

From enquiry to working team member in 5 business days. We handle onboarding, NDA, and access logistics.

Your timezone

India-based talent working overlapping hours with US, UK, and Australian teams. Daily standups and real-time collaboration, agreed upfront.

NDA-protected, no lock-in

Full IP and confidentiality protection as standard. Month-to-month engagements — scale up or down as your project evolves.

FAQ

Hiring a Snowflake Engineer — FAQs

How fast can I onboard a Snowflake engineer through Golonex? +

Usually within one week. We shortlist pre-vetted Snowflake engineers matched to your needs — warehousing, dbt pipelines, or Snowpark — you interview them, and the selected engineer is onboarded to your account and tooling within 5 business days, in your timezone.

Can your Snowflake engineers reduce our credit costs? +

Yes. They right-size and auto-suspend warehouses, rewrite expensive queries, apply clustering where it pays off, and separate workloads so heavy jobs don't inflate spend — cutting credits without slowing your reporting.

Do they use dbt and modern ELT on Snowflake? +

They do. Our engineers build dbt models with tests and documentation, orchestrate ingestion with Snowpipe, Streams, and Tasks, and version everything in Git with CI/CD. You own all pipeline code and IP produced in the engagement.

Will the engineer work in my timezone? +

Yes. Although based in India, our Snowflake engineers work overlapping hours with US, UK, and Australian teams. Coverage windows are agreed before the engagement so deployments, reviews, and standups align with your schedule.

How do you vet Snowflake engineers? +

Every candidate passes a technical assessment on real Snowflake scenarios — data modelling, ELT design, and cost/query tuning — plus a communication and remote-working assessment and reference checks from at least two prior engagements before you meet them.

Get started

Ready to hire a Snowflake Engineer?

Tell us the role, stack, and timeline. We'll match you with a named, pre-vetted engineer — integrated within 1 week.