Data & AI Engineering Intern - Build Pipelines & Analytics

CapitaLand Investment Limited

Singapore

Sur place

SGD 24 000 - 42 000

Plein temps

14 jours+

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Résumé du poste

CapitaLand Investment Limited (CLI) invites motivated data engineering students to join as an internship to build, test and support data pipelines on CLI's Enterprise Data Platform (EDP) in Singapore. Collaborate with data teams, learn cloud-based platforms and big data tools such as Azure Data Factory and Databricks, and contribute to data quality checks and documentation.

Candidates should be pursuing a Bachelor's or Master's in CS/IT with Python or Java knowledge and strong communication.

Qualifications

  • Currently pursuing a Bachelor's or Master's in Computer Science, Information Technology, or related disciplines.
  • Strong Python or Java with hands-on OOP concepts from coursework or internships.
  • Willingness to learn and explore new tools and technologies in data engineering and analytics infrastructure.
  • Good communication skills and a collaborative, team-oriented attitude.

Responsabilités

  • Assist in building, testing, and supporting of data pipelines on CapitaLand's Enterprise Data Platform (EDP)
  • Support data processing tasks for various business use cases across the organization
  • Assist in preparing and organizing datasets to support internal and business stakeholders
  • Help with documentation, data quality checks, and other ad-hoc tasks as assigned

Connaissances

Python
Java
OOP concepts
Data pipelines
Team player

Formation

Bachelor's or Master's in CS/IT

Outils

SQL
Azure Data Factory
Azure Databricks
Spark
Hive

Description du poste

CapitaLand Investment Limited (CLI) invites motivated data engineering students to join as an internship to build, test and support data pipelines on CLI's Enterprise Data Platform (EDP) in Singapore. Collaborate with data teams, learn cloud-based platforms and big data tools such as Azure Data Factory and Databricks, and contribute to data quality checks and documentation.

Candidates should be pursuing a Bachelor's or Master's in CS/IT with Python or Java knowledge and strong communication.

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