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

• Assisting in the development, testing, and maintenance of robust ETL data pipelines utilizing SQL and Python.

• Cleansing and validating datasets across relational databases, diverse file formats (CSV, JSON, Parquet), and external APIs.

• Integrating RESTful APIs and constructing lightweight internal web services leveraging frameworks such as FastAPI or Flask.

• Prototyping intelligent AI agents and leveraging LLM interfaces to automate data workflows while ensuring high precision and output quality.

• Conducting data analysis via pandas and presenting actionable insights using clear visualizations and technical summaries.

• Engineering automated web scrapers with BeautifulSoup, Selenium, or Playwright while adhering strictly to site governance and request constraints.

• Employing AI-assisted development tooling responsibly, maintaining thorough project documentation, and practicing standard Git version management.

Shift: 9am - 6pm

Location: Battaramulla

Responsibilities

• Possessing a degree in Computer Science, Data Science, Software Engineering, or a relevant academic discipline.

• Demonstrating strong core Python capabilities, encompassing foundational data structures, control flow mechanisms, modular functions, and robust exception handling.

• Applying hands-on expertise with pandas to perform dataset cleansing, complex transformations, aggregations, and seamless data merging.

• Leveraging solid SQL fundamentals for data retrieval, filtering, multi-table joins, and managing relational database architectures including primary and foreign key constraints.

• Understanding core data engineering paradigms, including ETL/ELT pipeline design, real-time streaming versus batch workflows, and architectural differences between relational databases and data warehouses.

• Comprehending web integration fundamentals, including RESTful API methods, standard HTTP response codes, and structured JSON payloads.

• Distinguishing clear theoretical and practical boundaries between Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs).

• Taking complete ownership of delivered code, effectively articulating logic and design decisions even when utilizing generative AI assistance tools.

• Exhibiting an eager growth mindset, collaborative spirit, and excellent professional communication skills in both 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.