SQL Developer - Internship (WFH)

About the internship:Selected intern's day-to-day responsibilities include:

1. Writing and executing SQL queries to retrieve, update, and manage data from databases.

2. Analyzing datasets and generating reports to support business and operational decisions.

3. Assisting in database management, query optimization, data validation, and troubleshooting data-related issues.

4. Creating and maintaining database tables, views, and stored procedures as required.

5. Identifying data inconsistencies and performing data cleaning to ensure accuracy and reliability.

6. Collaborating with the technical team to support database-related projects and implement data-driven solutions.Who can apply:Only those candidates can apply who:are available for the work from home job/internshipcan start the work from home job/internship between 6th Oct'26 and 10th Nov'26are available for duration of 4 monthshave relevant skills and interestsare Computer Science Engineering studentsStipend:INR₹ 4,000 - 6,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hoursSkills required:MySQL, SQL, Database Management System (DBMS), Data Analysis and OptimizationAbout Company:We are an innovative IT task portal that connects emerging tech talent with paid opportunities through short-term tasks and small-scale projects spanning a few days to several months. At the same time, it enables employers to efficiently manage routine operations and delegate project-based work through a seamless one-time registration process.

Responsibilities

Selected intern's day-to-day responsibilities include:

1. Writing and executing SQL queries to retrieve, update, and manage data from databases.

2. Analyzing datasets and generating reports to support business and operational decisions.

3. Assisting in database management, query optimization, data validation, and troubleshooting data-related issues.

4. Creating and maintaining database tables, views, and stored procedures as required.

5. Identifying data inconsistencies and performing data cleaning to ensure accuracy and reliability.

6. Collaborating with the technical team to support database-related projects and implement data-driven solutions.