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Naresh i Technologies (Pronounced: NareshIT) is a leading software training institute providing Software Training, Project Guidance, IT Consulting and Technology Workshops , using our enhanced global software training delivery methodology.
Tasks
We are looking for an experienced and passionate Oracle Database- SQL / PL/SQL Classroom Trainer to deliver instructor-led training to students, fresh graduates, and working professionals.
The trainer will be responsible for conducting classroom and practical sessions, explaining SQL and PL/SQL concepts, designing hands-on exercises, evaluating student performance, and helping learners develop job-ready database programming skills.
Requirements
Oracle Database- SQL / PL/SQL
Naresh I Technologies
"Naresh IT is the Best Software Training Institute for Full Stack Java Developer, Full Stack Data Science & AI, Full Stack Web Development, Full.Stack .NET Core, Data Science, AWS, DevOps, Python, Java, .Net, C, C++, DS, Hadoop, Selenium, Testing Tools, Angular12, ReactJS, NodeJS, ReactJS, Web Technologies, PHP with MySQL, Mobile Application Development, Android, iOS, Oracle, SQL Server, PowerBI, Azure, SalesForce CRM, RPA, Digital Marketing & CRT"
Most IT Jobs posts in Hyderabad ask for 3–6 years of experience (46% of 1062 that say).
From live job posts on CoreHRx, updated 6 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹8L – ₹21L a year (typical for IT Jobs in Hyderabad, 70 posts).
In Hyderabad.
It is a full time job.
Interview preparation · 60 questions
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
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