Data Engineer Intern

iLabs is a global software product engineering company headquartered in Sri Lanka, with deep roots in the US Silicon Valley. We deliver world-class solutions in Web, eCommerce, Mobile, AI/ML, and Cloud technologies, serving industries such as fintech, edtech, medtech, martech, and hospitality. Guided by our vision to become a global powerhouse in information technology to push humanity forward we focus on delivering innovative, impactful solutions that empower businesses and create meaningful change in the world.

With a global talent network, we build agile remote teams for leading tech companies worldwide, including Silicon Valley pioneers. Our in-house ventures include Cloud of Goods, a fast-growing eCommerce rental marketplace, and Xenia, a customizable web platform for modern businesses.

At iLabs, we're on a mission to advance lifestyles through technology and empower our partners to scale smarter and faster. Our culture is driven by creativity, innovation, ownership, teamwork, and global impact; giving you the opportunity and freedom to challenge the norm, spark change, and make a real difference.

If you're ready to break boundaries and create your defining moment, we're here to make it happen. Be part of something bigger. Join iLabs.

Responsibilities

• Assist in developing, testing and maintaining ETL/ELT data pipelines.

• Cleanse and validate data from relational databases, files (CSV, JSON, Parquet) and external APIs.

• Integrate RESTful APIs and build lightweight internal services with FastAPI or Flask.

• Prototype AI agents and use LLM APIs to automate data workflows while ensuring output quality.

• Analyze data with pandas and present insights through clear visualizations and summaries.

• Build automated web scrapers.

• Use AI-assisted development tools responsibly, maintain project documentation and follow Git version control practices

Shift: 9am - 6pm

Location: Battaramulla

Responsibilities

• Pursuing or holding a degree in Computer Science, Data Science, Software Engineering or a related field.

• Strong core Python skills, including data structures, control flow, functions and exception handling.

• Hands-on experience with pandas for cleaning, transforming, aggregating and merging data.

• Solid SQL fundamentals, including filtering, multi-table joins, and primary and foreign keys.

• Understanding of ETL/ELT, batch vs. streaming processing, and databases vs. data warehouses.

• Knowledge of REST API fundamentals, including HTTP methods, status codes and JSON.

• Clear understanding of the differences between AI, Machine Learning and Large Language Models.

• Ownership of delivered code, with the ability to explain logic and design decisions even when using AI tools.

• A growth mindset, collaborative spirit and strong written and spoken English.

Nice to have

• Demonstrating practical backend experience utilizing modern Python web frameworks such as FastAPI, Flask, or Django.

• Engineering web scrapers using BeautifulSoup, Selenium, or Playwright to systematically gather data from online sources.

• Integrating Large Language Model APIs into Python application pipelines for programmatic text processing and task automation.

• Possessing functional familiarity with intelligent agent architectures and protocols, including LangChain, LangGraph, CrewAI, or Model Context Protocol (MCP).

• Crafting intuitive graphical representations and analytical plots through libraries such as matplotlib, seaborn, or Plotly.

• Understanding enterprise data processing technologies including Apache Airflow, Spark, Kafka, or Databricks acquired through academic coursework or practical projects.

• Comprehending cloud platforms (AWS, GCP, or Azure), containerization using Docker, and fundamental Unix/Linux CLI operations.

• Showcasing an active GitHub profile or project portfolio containing original work in data engineering, web extraction, or artificial intelligence.