Internship (Paid)
SwiftB2B
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.