Internship (Paid)

SwiftB2B

Hyderabad, Telangana, India15–17 yrs3h agovia LinkedIn

This job at a glance

Who can apply
15–17 years of experience
Must know
OperationsREST APIsSparkSQLPythonData visualization
Work
On-site in Hyderabad · internship
Pay
Not stated by the employer.
Listed
9 Nov 2026 · still open

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About SwiftB2B

SwiftB2B is an AI operating system for global supply chains. It provides a platform for 3PLs, freight forwarders, brands, retailers, and manufacturers to view items, shipments, and exceptions in real-time.

About the Internship

This is a six-month paid internship on the data team, focusing on building real pipelines that feed the product. Interns will work on a piece of the actual platform with a mentor and will ship a feature that impacts customer data flow.

What You Will Work On

  • Ingesting data from logistics systems (TMS and WMS exports, carrier APIs, EDI files like the 856 and 214) into Delta tables on Databricks.
  • Writing PySpark and SQL transformations with data-quality checks.
  • Building a small piece of our KPI catalogue end-to-end: source, model, test, documentation.
  • Learning Unity Catalog, Lakeflow, and medallion architecture through practical application.
  • Writing a runbook for your built components.

Requirements & Tech Stack

  • Python and SQL (experience with datasets larger than a CSV).
  • Familiarity with Databricks.
  • Experience with Delta tables.
  • Experience with PySpark.
  • Understanding of EDI files (e.g., 856, 214).
  • Familiarity with Unity Catalog, Lakeflow, and medallion architecture is a plus (learning opportunity provided).

Qualifications

  • Final-year students or recent graduates in Computer Science, Data Science, Engineering, or a related field.
  • Self-taught individuals with demonstrable skills are also welcome.
  • Curiosity about global supply chains.
  • Proven experience building something with data (e.g., a repo, notebook, dashboard, blog post).

Application Instructions

  • Submit a link to something you built with data.
  • Include two to three sentences describing the challenges faced.
  • Mention any observations from trying the online demo with personal data.

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