Hire Dedicated Data Engineers — India, US, UK & Australia
Hire pre-vetted data engineers who build reliable pipelines and warehouses that analytics and ML teams can trust. Golonex places dedicated India-based data 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 Data Engineer does
A data engineer builds the pipelines and platforms that move, transform, and store data at scale. Day to day they design batch and streaming ETL/ELT, orchestrate workflows with Airflow, model warehouses and lakehouses, transform data with dbt and Spark, integrate sources with Kafka and CDC, and ensure data quality, lineage, and cost efficiency across the stack.
Core expertise
What a Golonex Data 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
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Data, AI & ML Engineers
The Golonex difference
Named, pre-vetted engineers
Every Data 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 Data Engineer — FAQs
How fast can I onboard a data engineer through Golonex? +
Usually within one week. We shortlist pre-vetted data engineers matched to your stack — Airflow, dbt, Spark, or Kafka — you interview them, and the selected engineer is onboarded to your platform and tooling within 5 business days, in your timezone.
Can your data engineers build both batch and streaming pipelines? +
Yes. They design batch ETL/ELT with Airflow and dbt as well as real-time streaming with Kafka, CDC, and Spark Structured Streaming. Tell us your latency and volume needs and we match engineers with the right experience.
Do they ensure data quality and reliability? +
They do. Our data engineers add tests and validation with tools like Great Expectations and dbt tests, build lineage and monitoring, and design idempotent, retry-safe pipelines so bad data is caught early and jobs recover cleanly.
Will the engineer work overlapping hours with my team? +
Yes. Although based in India, our data 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 data engineers? +
Every candidate passes a technical assessment on real scenarios — pipeline design, SQL and dbt modelling, and Spark/streaming problems — plus a communication and remote-working assessment and reference checks from at least two prior engagements before you meet them.
Ready to hire a Data Engineer?
Tell us the role, stack, and timeline. We'll match you with a named, pre-vetted engineer — integrated within 1 week.