Data Engineer Intern

About the role

iLabs, a global software product engineering company with roots in Silicon Valley, is hiring a Data Engineer Intern in Battaramulla. The intern works on ETL/ELT pipelines, data cleaning, API integration and AI-assisted data workflows, with a shift of 9am to 6pm.

Key responsibilities

• Assist in developing, testing and maintaining ETL/ELT data pipelines.
• Cleanse and validate data from relational databases, CSV, JSON and Parquet files 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.

Required profile

• 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 versus streaming processing, and databases versus data warehouses.
• Knowledge of REST API fundamentals (HTTP methods, status codes, 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.
• Growth mindset, collaborative spirit and strong written and spoken English.

Nice to have

• Practical backend experience with FastAPI, Flask or Django.
• Web scraping with BeautifulSoup, Selenium or Playwright.
• LLM API integration and familiarity with LangChain, LangGraph, CrewAI or MCP.
• Data visualization with matplotlib, seaborn or Plotly.
• Apache Airflow, Spark, Kafka or Databricks, and cloud platforms (AWS, GCP, Azure) with Docker and Unix/Linux CLI.
• An active GitHub profile or project portfolio.