Delhivery is hiring for a Data Engineering Intern in Noida, offering an excellent opportunity for students and recent graduates who want to build practical experience in Python, data engineering and large-scale data systems.
📌 Role: Data Engineering Intern
📍 Location: Noida
🏢 Work Mode: Work From Office
⏳ Duration: 6 Months
🎓 Eligible Graduation Years: 2025, 2026 & 2027
🛠️ Primary Skill: Python + Data Engineering Fundamentals
⚡ Joining: Immediate joining preferred; candidates with 15/30/45/60-day availability may also be considered.
🏢 About Delhivery
Delhivery is one of India’s major logistics and supply-chain technology companies, providing services including express parcel delivery, freight, warehousing, cross-border logistics and supply-chain solutions. According to its FY2025 annual report, Delhivery served more than 40,000 active customers and operated a technology-driven logistics network across India.
What makes Delhivery particularly interesting for aspiring data engineers is its strong dependence on technology and data. The company says its logistics operating system orchestrates more than 80 applications, while its data-intelligence systems process large volumes of operational and environmental data. These systems support use cases including route optimisation, ETA prediction, network design, geo-location and fraud detection.
💼 Why Is This Internship Good for Your Experience?
This is more than a generic internship for students interested in data. Logistics generates enormous amounts of information involving shipments, locations, routes, delivery events, customers, warehouses and operational performance.
Working in this environment can help an intern understand how data moves from source systems into usable datasets and how analytical information supports business decisions.
You can potentially develop practical experience in:
🔹 Writing Python programs for data-related tasks
🔹 Understanding data pipelines and data workflows
🔹 Working with structured and semi-structured data
🔹 Data cleaning and transformation
🔹 SQL-based data extraction and analysis
🔹 Debugging data-processing problems
🔹 Understanding ETL/ELT concepts
🔹 Working with APIs and application-generated data
🔹 Learning how large-scale operational systems use data
🛠️ Skills Required
The posted requirements focus on Python, data-engineering fundamentals, analytical/problem-solving ability and willingness to learn. Candidates can strengthen their profile by adding:
🔹 Python: Functions, OOP, lists/dictionaries, file handling, exceptions and modules
🔹 SQL: SELECT, JOIN, GROUP BY, subqueries, CTEs and window functions
🔹 Data Structures: Arrays, strings, hash maps, stacks and queues
🔹 Data Engineering: ETL/ELT, pipelines, data transformation and data quality
🔹 Databases: Relational database fundamentals and basic indexing
🔹 Pandas: Data cleaning, transformation and analysis
🔹 Git: Basic version control and collaboration
🔹 APIs: JSON, REST APIs and extracting data programmatically
🔹 Cloud Fundamentals: Basic AWS/Azure/GCP knowledge can be an advantage
🔹 Problem Solving: Ability to investigate unexpected or inconsistent data
🎤 Expected Delhivery Interview Rounds
For this Data Engineering Intern position, a realistic preparation structure would be:
🔹 Round 1 – Resume/Initial Screening: Academic background, graduation year, projects, Python and availability.
🔹 Round 2 – Technical Interview: Python, SQL, data structures, data manipulation and basic data-engineering concepts.
🔹 Round 3 – Problem Solving/Managerial Discussion: Analytical thinking, project discussion and how you approach unfamiliar data problems.
🔹 Round 4 – HR/Final Discussion: Internship duration, WFO availability, joining timeline and general fit.
💰 Salary / Stipend Range
Delhivery does not appear to publicly specify an official stipend for this particular Data Engineering Intern opening. Available employee-reported data on Glassdoor shows Delhivery intern compensation around ₹1–3 lakh per year in submitted salary data, while separate Noida salary data also shows limited internship submissions with considerable variation.
Therefore, for planning purposes, candidates can consider approximately ₹10,000–₹25,000 per month as an indicative range, but this should not be treated as the confirmed stipend for this opening. The actual offer can depend on the internship structure and candidate profile.
🔥 Preparation Tips
Don’t spend all your preparation time learning advanced Spark or complicated cloud architecture. This JD specifically emphasizes Python + fundamentals + analytical ability.
🐍 Spend most of your time solving Python problems involving dictionaries, strings, lists, file processing and data transformation.
🗄️ Practice SQL every day. Be comfortable answering questions such as finding duplicate records, second-highest values, daily shipment counts, JOIN-based analysis and ranking records.
📊 Build one small logistics-style data project. For example, create a shipment dataset containing shipment ID, origin, destination, delivery status and delivery date, then use Python/Pandas and SQL to calculate delivery metrics.
🧩 Practice explaining your approach when data contains missing, duplicate or incorrect records. This directly demonstrates the analytical mindset expected from a data-engineering intern.
📄 Resume Tips for This Internship
Keep your resume project-focused rather than experience-focused.
Your strongest sections should be:
🔹 Python projects
🔹 SQL projects
🔹 Data-analysis/data-engineering projects
🔹 Relevant coursework
🔹 GitHub projects
🔹 Certifications, if genuinely relevant
Instead of writing “Knowledge of Python and SQL,” write something measurable:
✅ Built a Python/Pandas pipeline to clean and transform 50,000+ records and generated analytical reports using SQL.
If you have a project involving APIs, databases, ETL, automation or data pipelines, place it prominently. Also clearly mention your graduation year and availability for a six-month internship because both are directly relevant to this opening.
📩 How to Apply
👉 Application Link: Click Here
Candidates interested in this opportunity should prepare an updated, one-page resume highlighting Python, SQL, data projects and analytical skills.
📍 Location: Noida
🏢 Mode: WFO
⏳ Duration: 6 months
🎓 Graduation: 2025 / 2026 / 2027
⚡ Joining: Immediate preferred; 15/30/45/60-day availability options mentioned.
🚀 Final Takeaway
For students targeting Data Engineering, this Delhivery internship can be a valuable entry point because the company’s operations are deeply connected with data, automation, logistics technology and machine learning.
If you are from the 2025, 2026 or 2027 graduating batches, have solid Python fundamentals, understand basic data engineering and can commit to six months of WFO in Noida, this is an opportunity worth applying for early.
