How to choose the right data engineering / big data provider
Finding data engineering / big data usually means asking around, calling several people and comparing vague quotes. Here's a better way to brief, compare and choose.
Write a clear request
The clearer your request, the better the bids. Say what you need, where, when and your budget range. For example:
"Build a data pipeline from MySQL to BigQuery"
"Set up Airflow jobs for daily reports"
"Clean and consolidate sales data from 5 sources"
Checklist before you hire
Check experience with your cloud and tools
ask about data security
agree on documentation
Compare bids on more than price
Look at past work on their Instagram and TickBig site.
Check what’s included in the quote, and what costs extra.
Ask about timelines, availability and who will actually do the work.
Get the final scope and price in writing before you pay.
Post once, let providers bid
With Find Vendors, you post your data engineering / big data requirement once. Matching providers are alerted, bid and chat with you, and you choose the best fit at the best price.
Calling around vs Agent Ambo
| Compare | Calling around | With Agent Ambo |
|---|---|---|
| Effort | Many calls and messages | One request |
| Options | The few you know | Every matching provider bids |
| Comparing | Vague verbal quotes | Bids side by side, with work and profiles |
| Price | Take it or leave it | Providers compete for your work |
