Hire Dedicated BigQuery Engineers — India, US, UK & Australia
Hire pre-vetted BigQuery engineers who build fast, cost-controlled analytics warehouses on Google Cloud. Golonex places dedicated India-based BigQuery engineers with US, UK, Australian, and Indian teams — working in your timezone, under NDA, onboarded within one week and with no lock-in.
What a BigQuery Engineer does
A BigQuery engineer designs and operates serverless data warehouses on Google BigQuery — modelling schemas, building ELT, and controlling query cost. Day to day they design partitioning and clustering, optimise SQL to reduce bytes scanned, build pipelines with Dataform, dbt, and Dataflow, manage slots and reservations, and govern access with IAM, authorized views, and column-level security.
Core expertise
What a Golonex BigQuery Engineer builds for you
How it works
Engagement models
Based in India, working in your timezone. Onsite options available across the US, UK, and India.
Category
🗄️
Database Engineers & DBAs
The Golonex difference
Named, pre-vetted engineers
Every BigQuery 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.
Hiring a BigQuery Engineer — FAQs
How fast can I onboard a BigQuery engineer through Golonex? +
Usually within one week. We shortlist pre-vetted BigQuery engineers matched to your needs — warehousing, dbt/Dataform, or streaming ingestion — you interview them, and the selected engineer is onboarded to your GCP project and tooling within 5 business days.
Can your BigQuery engineers cut our query costs? +
Yes. They apply partitioning and clustering, rewrite queries to minimise bytes scanned, add materialized views, and choose between on-demand and slot reservations — reducing spend while keeping dashboards fast. You own all resulting code and IP.
Do they build ELT pipelines with dbt or Dataform? +
They do. Our engineers build transformation layers with Dataform or dbt, orchestrate ingestion via Dataflow, Pub/Sub, and scheduled queries, and version everything in Git. Tell us your stack and we match accordingly.
Will the engineer work in my timezone? +
Yes. Although based in India, our BigQuery 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 BigQuery engineers? +
Every candidate passes a technical assessment on real BigQuery scenarios — schema and partition design, SQL cost tuning, and pipeline build — plus a communication and remote-working assessment and reference checks from at least two prior engagements.
Ready to hire a BigQuery Engineer?
Tell us the role, stack, and timeline. We'll match you with a named, pre-vetted engineer — integrated within 1 week.