Hire Dedicated Databricks Engineers — India, US, UK & Australia
Hire pre-vetted Databricks engineers who build lakehouse platforms and Spark pipelines that scale. Golonex places dedicated India-based Databricks 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 Databricks Engineer does
A Databricks engineer builds and operates lakehouse data platforms on Databricks using Spark and Delta Lake. Day to day they develop PySpark and SQL ETL, design medallion (bronze/silver/gold) architectures, orchestrate Workflows and Delta Live Tables, govern data with Unity Catalog, tune cluster and job performance, and integrate ML and analytics workloads on the same platform.
Core expertise
What a Golonex Databricks 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 Databricks 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 Databricks Engineer — FAQs
How quickly can I hire a Databricks engineer through Golonex? +
Typically within one week. We shortlist pre-vetted Databricks engineers matched to your needs — Spark ETL, Delta Live Tables, or lakehouse governance — you interview them, and the selected engineer is onboarded to your workspace and tooling within 5 business days.
Can your Databricks engineers design a lakehouse from scratch? +
Yes. They set up medallion (bronze/silver/gold) architecture on Delta Lake, build ingestion with Auto Loader and Structured Streaming, and govern everything with Unity Catalog. All pipeline code and IP produced belongs to you.
Do they optimise Spark jobs and cluster cost? +
They do. Our engineers profile Spark stages, fix skew and shuffle bottlenecks, right-size clusters and enable Photon, and tune Delta table layout with OPTIMIZE and Z-ordering — reducing job runtime and DBU spend.
Will the engineer work overlapping hours with my team? +
Yes. Although based in India, our Databricks 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 Databricks engineers? +
Every candidate passes a technical assessment on real scenarios — PySpark ETL, Delta Lake modelling, and Spark performance tuning — plus a communication and remote-working assessment and reference checks from at least two prior engagements before you meet them.
Ready to hire a Databricks Engineer?
Tell us the role, stack, and timeline. We'll match you with a named, pre-vetted engineer — integrated within 1 week.