Data Intelligence Engineer, Databricks (Bengaluru)

Data Intelligence Engineer, Databricks (Bengaluru)

14 Oct
|
swiftb2b
|
Bengaluru

14 Oct

swiftb2b

Bengaluru

Every day, millions of shipments move around the world on data that nobody is looking at in real time. Orders, ASNs, invoices, and tracking events flow between 3PLs, forwarders, brands, and retailers through EDI and APIs, then get flattened into a status that tells you something went wrong only after it already has.

SwiftB2B exists to change that. We are an AI operating system for global supply chains. One platform where 3PLs, freight forwarders, brands, retailers, and manufacturers can see every item, shipment, and exception as it happens. The platform does not stop at flagging a delay. It works out what the delay costs, weighs the options, and starts the fix.

We built it on 15 years of SwiftAnt’s work in supply chain and EDI technology, and on a team that has spent careers in logistics, retail, and enterprise software. We know what a late container does to a retailer’s shelf, and we know what the data underneath it looks like.

That data is where you come in. The intelligence in SwiftB2B is only as positive as the pipelines feeding it.



We are a Databricks partner and we are building our data platform on the lakehouse. We want engineers who understand the full breadth of Databricks, from ingestion and Delta tables through Unity Catalog, Lakeflow, and Mosaic AI, and who can see how all of it applies to shipment data, customer profitability, emissions reporting, and the rest of the problems logistics companies live with.

What you will do

You will design, build, and run the data pipelines and models that power the visibility and decision-making in SwiftB2B. In practice that means:

• Ingesting and transforming data from logistics and enterprise systems (EDI feeds, TMS/WMS exports, ERPs, carrier APIs) into analytics-ready lakehouse tables on Databricks.
• Building and tuning ETL and ELT workflows, and modeling data for analytics, warehousing, and the AI features in the product.
• Owning data quality end to end: validation, lineage, monitoring, and fixing production iss

📌 Data Intelligence Engineer, Databricks (Bengaluru)
🏢 swiftb2b
📍 Bengaluru

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