If you’re looking to start your career in data engineering, BI, or platform engineering, Lowe’s India offers an incredible opportunity to join as a DIH Intern, Data Engineering in Bengaluru. This full-time internship allows you to work on real-world projects, learning the software development lifecycle, data lake management, BI solutions, and hybrid cloud platforms. Interns gain exposure to cutting-edge technologies, mentorship from experienced engineers, and hands-on experience in a corporate environment that values innovation, collaboration, and customer focus.
About Lowe’s
Lowe’s is a FORTUNE® 100 home improvement company, serving over 16 million customer transactions weekly in the United States. In India, Lowe’s Global Capability Center in Bengaluru employs over 4,500 associates and drives technology, analytics, and business strategies. Interns at Lowe’s India are exposed to innovations in AI/ML, enterprise architecture, and data engineering, helping transform home improvement retail. The Bengaluru office provides an ultramodern environment, including collaborative workspaces, an on-site gym, and a clinic to support employee well-being.
Role Overview
As a DIH Intern, Data Engineering, you will assist with building, maintaining, and enhancing data and platform solutions. You will contribute to the software development lifecycle, support BI reporting, manage data lakes, and work on Hadoop clusters and cloud platforms. The internship provides a unique opportunity to gain hands-on experience across data engineering, BI engineering, and platform engineering, while learning best practices from senior engineers.
Key Responsibilities
Core Responsibilities:
- Translate business requirements and functional specifications into data or platform solutions.
- Assist in developing, configuring, or modifying integrated business and enterprise applications.
- Support software deployment, testing (SIT and UAT), and end-to-end product lifecycle activities.
- Apply computer science fundamentals and learn software architecture principles.
- Research new technologies and implement innovative solutions.
- Troubleshoot technical issues and provide solutions under guidance.
Data Engineering Responsibilities:
- Build, maintain, and enhance data lake ingestion pipelines for DBMS and file system data.
- Support creation and optimization of data curation pipelines.
- Monitor analytic capabilities and maintain data health.
BI Engineering Responsibilities:
- Develop, maintain, and enhance BI solutions, including basic reports, filters, and metrics.
- Understand attributes, facts, transformations, and SQL generation.
- Monitor jobs, cubes, and platform health, and resolve access requests.
Platform Engineering Responsibilities:
- Administer Hadoop clusters in DTQ and Production.
- Perform application installs, upgrades, patching, and troubleshooting.
- Maintain cluster security, automate routine tasks, and manage user provisioning.
- Assist in designing hybrid cloud solutions for infrastructure and platforms.
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Who Can Apply (Eligibility)
| Criteria | Details |
|---|---|
| Education | Bachelor’s or Master’s degree in Computer Science, CIS, or related field |
| Experience | 1–5+ years in software development or relevant field |
| Preferred Experience | 1 year in software development, BI solutions, middleware, database technologies, Hadoop, NoSQL, RDBMS, Teradata, MicroStrategy, or Cloud Big Data components |
| Skills | Microservices, Application Development Tools, Quality Engineering, Technical Troubleshooting, Software Engineering |
| Competencies | Focus on customers, deliver results, take action, show courage, continue learning, collaborate, exhibit technology acumen, communicate effectively, demonstrate learning agility, be adaptable |
Required Skills & Competencies
- Strong understanding of software development lifecycle (SDLC).
- Experience with data pipelines, Hadoop, NoSQL, RDBMS, and cloud platforms.
- Knowledge of BI reporting tools, SQL, and metrics generation.
- Ability to troubleshoot technical issues and contribute to high-quality solutions.
- Strong problem-solving, collaboration, and communication skills.
- Willingness to learn, adapt, and adopt innovative technologies.
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Stipend & Benefits
- Full-time paid internship (stipend varies based on experience and company policy).
- Exposure to real-world data engineering, BI, and platform projects.
- Mentorship and guidance from senior engineers.
- Opportunity to learn Hadoop, cloud computing, BI tools, and data lakes.
- Collaborative work environment with ultramodern office facilities in Bengaluru.
How to Apply
Interested candidates can apply by clicking the button below. Highlight relevant skills in software development, BI, Hadoop, and cloud platforms, along with any academic or personal projects demonstrating data engineering proficiency. This internship is ideal for candidates looking to kickstart their careers in data and platform engineering while gaining exposure to corporate best practices.
Disclaimer
All information is sourced from publicly available details. No fees are charged. Selection depends entirely on Lowe’s recruitment process, and candidates are advised to verify all details before applying.
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