Intern, Data Engineer

Job description

Are you ready to shape a better tomorrow? AIA Digital+ is a Technology, Digital and Analytics innovation hub dedicated to powering AIA to be more efficient, connected and innovative as it fulfils its Purpose to help millions of people across Asia-Pacific live Healthier, Longer, Better Lives. If you are hungry and driven to play an active role in shaping a better tomorrow, we want to hear from you. Because the work we do at AIA Digital+ makes a difference in the lives of millions of people, every day.

We will equip you with the critical skills, tools and technology, and endless opportunities to learn, contribute and thrive in a dynamic and exciting environment. If you want to shape a brighter future at AIA Digital+, please read on. About the Role

• Support the design, development, and optimization of modern data pipelines and analytics solutions using Databricks, Python, SQL, and GitHub Copilot. The role provides hands-on exposure to enterprise data engineering practices, cloud-based data platforms, and AI-assisted software development.
• Collaborate with data engineers and solution architects to build scalable data workflows, improve data quality and accessibility, and leverage AI tools to accelerate development productivity.

Through this internship, the candidate will gain practical experience in delivering end-to-end data & AI solutions that enable data-driven decision-making and business insights.

Responsibilities

Assist in designing, developing, and maintaining data pipelines using Databricks. Build and optimize ETL/ELT processes to ingest, transform, and load data from multiple sources. Support the development of scalable data models and data products. Perform data quality validation, monitoring, and troubleshooting activities. Document data pipelines, workflows, and technical solutions. Work with cloud-based data platforms and modern data architectures.

Assist in integrating data from databases, APIs, files, and enterprise applications. Support implementation of best practices for data governance, security, and performance optimization. Participate in testing and deployment activities. Leverage GitHub Copilot to accelerate code development and improve productivity. Explore the use of AI-powered development tools for coding, documentation, testing, and troubleshooting. Contribute to proof-of-concepts involving Generative AI for data engineering use cases.

Learn and apply prompt engineering techniques to improve development outcomes. Participate in Agile ceremonies, team meetings, and technical discussions. Collaborate with data engineers, architects, analysts, and product stakeholders. Research emerging technologies and recommend innovative approaches to improve development efficiency. Present internship project outcomes and lessons learned to the team.

Requirement

Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Technology, Artificial Intelligence, or a related field. Basic knowledge of Python, SQL, and software development concepts. Understanding of data engineering fundamentals, including databases, ETL/ELT processes, and data pipelines. Familiarity with Git/GitHub and an interest in AI-assisted development tools such as GitHub Copilot.

Exposure to Databricks, Apache Spark, cloud platforms, or analytics technologies is an advantage. Strong analytical thinking, problem-solving abilities, and eagerness to learn new technologies Build a career with us as we help our customers and the community live healthier, longer, better lives. You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application.

You are responsible for ensuring that the information you submit is accurate and up-to-date.