Data / Retrieval Engineer
We are seeking an experienced Data / Retrieval Engineer to design, build and operate enterprise-grade data ingestion and retrieval capabilities for AI agents and knowledge-search platforms. The role will focus on transforming enterprise business knowledge into secure, trustworthy and citation-backed context. Required Skills: 7+ years of experience in data engineering, backend engineering, search engineering, machine learning engineering or knowledge-platform development. Strong hands-on experience with Python and SQL. Production experience implementing Retrieval-Augmented Generation or enterprise-search solutions.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
4150
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Data / Retrieval Engineer?
The official closing date is 2027-02-09. Apply early to avoid the last-day portal rush.
How do I apply for Data / Retrieval Engineer?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the NTT Corporation test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Data / Retrieval Engineer test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Python, SQL, RAG, Vector Databases, Enterprise Search, Data Engineering.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.