Lowe’s Off Campus Drive 2026 | DIH Intern – Data Engineering | Bengaluru — Apply Now

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Lowe’s Off Campus Drive 2026 is now open for engineering graduates in India! Lowe’s, the American Fortune 50 home improvement retail giant, is hiring a DIH Intern – Data Engineering at its Global Technology Centre in Bangalore. This is a hands-on internship role in the Data and Insight Hub (DIH) where you will work on building data pipelines, administering Hadoop clusters, and designing hybrid cloud-based data solutions. If you are a B.E./B.Tech/MCA/M.Tech graduate with a passion for data engineering and big data technologies, this is a rare opportunity to gain enterprise-grade data engineering experience at a global Fortune 50 company — apply now.

Lowe's Off Campus Drive 2026 DIH Intern Data Engineering Bangalore

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Company Lowe’s India (Lowe’s Global Technology Centre)
Role DIH Intern – Data Engineering
Location Bengaluru, Karnataka (Manyata Embassy Business Park)
Eligibility B.E./B.Tech/MCA/M.Tech in Computer Science or related | Freshers
Batch 2024 / 2025 / 2026
Salary Not Disclosed (Competitive)
Experience Freshers / 0 Years
Work Mode On-site (Bengaluru)
Apply Mode Online
Last Date to Apply Apply as soon as possible

Lowe’s Off Campus Drive 2026 – Full Job Details

About Lowe’s India

Lowe’s Companies, Inc. is a Fortune 50 American retail company and one of the world’s largest home improvement retailers, serving millions of customers across the United States and Canada with more than 1,700 stores and over 300,000 employees. In India, Lowe’s operates its Global Technology Centre (GTC) in Bengaluru — a major engineering, data, and technology hub that develops cutting-edge digital solutions powering Lowe’s retail, supply chain, and customer experience platforms. The Bengaluru centre is home to data engineering, software engineering, cloud infrastructure, and analytics teams that work on real-world, large-scale enterprise systems. Working at Lowe’s India means contributing to technology that impacts millions of customers daily.

Role Overview – DIH Intern, Data Engineering

The DIH Intern – Data Engineering role sits within Lowe’s Data and Insight Hub (DIH), the central data engineering function responsible for translating business requirements into scalable data solutions. As a Data Engineering Intern, you will work closely with the BI Engineering and Platform Engineering teams to build and maintain data curation pipelines, support Hadoop cluster administration, and help design hybrid cloud-based data architectures. This is a fully on-site role at the Manyata Embassy Business Park campus, where you will collaborate with experienced data engineers and gain enterprise-level exposure to big data ecosystems, cloud platforms, and modern data engineering tooling.

Key Responsibilities

  • Data Pipeline Development: Build, maintain, and enhance data curation pipelines that ingest, transform, and load large volumes of structured and unstructured data across the Lowe’s data platform.
  • Hadoop Cluster Administration: Work alongside the platform engineering team to administer and support Hadoop clusters, ensuring optimal performance, availability, and reliability of the big data infrastructure.
  • Hybrid Cloud Data Solutions: Assist in designing and implementing hybrid cloud-based data solutions that integrate on-premises big data systems with cloud platforms to support analytics and reporting needs.
  • Enterprise Application Support: Support the development, configuration, and modification of integrated enterprise data applications, working to ensure seamless data flows across Lowe’s systems.
  • Systems Testing: Assist in Systems Integration Testing (SIT) and User Acceptance Testing (UAT) for data engineering components, validating pipeline accuracy and system reliability.
  • Business Requirement Translation: Work with business stakeholders and senior data engineers to translate business requirements into technical data engineering specifications and scalable platform solutions.
  • Cross-team Collaboration: Collaborate closely with BI Engineering, Platform Engineering, and Analytics teams to align on data requirements, resolve dependencies, and deliver integrated data solutions.

Eligibility Criteria

  • Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related engineering discipline from a recognised institution
  • Batch Year: 2024, 2025, or 2026 pass-outs
  • Required Skills: SQL (strong proficiency), Data Engineering fundamentals, Big Data ecosystems (Hadoop, NO-SQL, RDBMS)
  • Good-to-Have Skills: Teradata, MicroStrategy, cloud big data components (AWS/GCP/Azure), experience with data pipeline tools, basic understanding of data warehousing concepts
  • Other: Willingness to work on-site at the Bengaluru office (Manyata Embassy Business Park)

Selection Process

The Lowe’s Off Campus Drive 2026 selection process includes:

  • Round 1 – Online Application Review: Resume screening based on educational background, technical skills (SQL, data engineering, big data), and overall profile.
  • Round 2 – Technical Assessment: SQL-based coding test and data engineering concepts evaluation to assess analytical and problem-solving ability.
  • Round 3 – Technical Interview: Discussion with Lowe’s data engineering team covering SQL, big data concepts, data pipelines, and situational problem-solving.
  • Round 4 – HR Interview: Final discussion covering cultural fit, career goals, and joining readiness.

Salary & Benefits

Lowe’s India has not disclosed the exact compensation for this intern role. However, as a Fortune 50 company, Lowe’s is known for competitive compensation in line with top-tier MNC standards. Interns at Lowe’s benefit from world-class mentorship, exposure to enterprise-scale data systems that process billions of rows of data, structured learning programs, and the professional credibility of a Lowe’s GTC credential on their resume.

How to Apply for Lowe’s Off Campus Drive 2026

  1. Click the “Apply Now” button below.
  2. You will be redirected to the official Lowe’s India careers portal.
  3. Create an account or log in if you already have one.
  4. Fill in your personal, educational, and technical details accurately.
  5. Upload your updated resume highlighting SQL, data engineering, and big data skills.
  6. Submit the application and save your application reference number.

Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official Lowe’s India careers page before applying.

Frequently Asked Questions – Lowe’s Off Campus Drive 2026

Q1. Who is eligible to apply for the Lowe’s Off Campus Drive 2026?

Candidates with a Bachelor’s or Master’s degree in Computer Science, IT, Data Science, or a related engineering discipline from the 2024, 2025, or 2026 graduating batch are eligible. Strong SQL skills and foundational knowledge of data engineering and big data ecosystems are required. No prior work experience is necessary.

Q2. What is the salary offered in Lowe’s Off Campus Drive 2026?

Lowe’s India has not disclosed the exact compensation for this Data Engineering Intern role. As a Fortune 50 company, Lowe’s offers competitive packages in line with the highest MNC standards in Bengaluru, along with structured learning and mentorship opportunities.

Q3. What is the job location for this role?

The DIH Intern – Data Engineering role is based on-site at the Lowe’s Global Technology Centre in Manyata Embassy Business Park, Bengaluru, Karnataka. Candidates must be willing to work from the Bengaluru office.

Q4. What is the selection process for Lowe’s Off Campus Drive 2026?

The selection process includes an online application screening, a SQL and data engineering technical assessment, a technical interview with the data engineering team, and a final HR interview. Shortlisted candidates are contacted directly by the Lowe’s India talent team.

Q5. What skills are required for the Lowe’s Data Engineering Intern role?

Strong SQL proficiency and foundational knowledge of data engineering and big data ecosystems (Hadoop, NO-SQL, RDBMS) are required. Experience with Teradata, MicroStrategy, cloud big data platforms, or data pipeline tools is an added advantage. Good analytical thinking and a collaborative mindset are equally important.

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