Data Engineering - Intern

About LRN

Do you wish to utilize your system engineering expertise to help individuals globally do the right thing? Join us at LRN, a small global company with fewer than 500 employees, where you can have the utmost impact.

LRN seeks to advance organizations through partnership, knowledge, and tools that cultivate ethical culture. Over 1,000 global companies (including some of the most renowned brands) employ LRN services and harness LRN e-learning courses to navigate intricate regulatory surroundings and foster ethical, responsible, and inclusive environments. In collaboration with LRN, companies transform their values into tangible corporate practices, training materials, and leadership behaviors that establish a sustainable competitive edge. By engaging with shared values, companies and their individuals discover the means to outperform.

Position - Data Engineering - Trainee

The System Engineer – Trainees will take on the responsibility of installing, configuring, testing, and maintaining operating systems, application software, and system management tools while assuring optimum levels of system and infrastructure availability.

System Engineer - Trainees will undergo on-job training for 3-6 months before commencing work on live projects. After training, Trainees are placed under senior resources and given system engineering assignments.

This role provides an exciting opportunity to enforce cloud computing on an enterprise scale.

Requirements

• Continuous Improvement @ LRN's Infrastructure to support "Partner Retention" & "New Business Growth"; by ensuring high availability.
• Simplify (Product Setup and Administration), Optimize (Security and Total Cost of Ownership) and being flexible (to scale horizontally & vertically) with an emphasis on process, automation, and resiliency.
• Collaborate with the technology team to establish a global infrastructure on a cloud computing platform.
• Perform script execution, database analysis, and operational actions.

• Execute high end Database Performance Tuning and Optimization best practices.

Key Skills

• Basic familiarity and understanding of Linux OR Windows O/S.
• Exceptional learning and deep analytical skills are necessary.
• Must be capable of functioning well in a team.

Required Qualifications and Experience:

• B.Tech / B.E. / BCA / B.Sc (Computers) OR Equivalent.
• Eagerness to learn and apply the learning.
• Experience in cloud computing on AWS will be beneficial.

Interview Process:

1. Online test based on skills.

1. Technical Interview.

Benefits

What we offer:

• Training on AWS
• Mentoring by senior resources
• Competitive remuneration
• Superior medical coverage

LRN is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.