Intern, Data & AI (Data Engineering) (Off-cycle Jan-Jun 2025)

CapitaLand Business Services Pte Ltd
Singapore
SGD 80,000 - 100,000
Job description

Intern, Data & AI (Data Engineering) (Off-cycle Jan-Jun 2025) page is loaded

Intern, Data & AI (Data Engineering) (Off-cycle Jan-Jun 2025)

Apply locations Singapore, East Singapore time type Full time posted on Posted 2 Days Ago job requisition id JR002956

About Us

Headquartered and listed in Singapore, CapitaLand Investment Limited (CLI) is a leading global real asset manager with a strong Asia foothold . As at 30 June 2024 , CLI had S$134 billion of assets under management, as well as S$100 billion of funds under management held via six listed real estate investment trusts and business trusts and a suite of private real asset vehicles that invest in thematic and tactical strategies. Its diversified real estate asset classes include retail, office, lodging, industrial, logistics, business parks, wellness, self-storage and data centres.

Job Description

You will be assisting the Data & AI team in their day-to-day operations, business-as-usual (BAU) processes and other data-related tasks.

Responsibilities

  • Build a robust and scalable Enterprise Data Platform for batch/real-time data processing and machine learning model

  • Develop data processing pipelines for ingestion, modelling, analysis, mining and reporting with SQL, Spark, Python, etc

  • Solve technical challenges posted to the Enterprise Data Platform in huge volume, velocity, and business complexity

  • Collaborate with CapitaLand’s infrastructure, Business Analysts, and the Data Science team for data engineering support and development/deployment of machine learning models

  • Support data management projects and perform additional data-related tasks as required

Requirements

  • Preferred studies in Computer Science, Information Systems, Electronical Engineering, or related disciplines

  • Strong programming experience in SQL, Python, or Java

  • Possess a strong willingness to learn on the job continuously, embracing new and varied technologies that are centred around all aspects of data management

  • Good to have knowledge on Microsoft stack of analytics products (SQL Server, Azure Data Factory, Azure Databricks, Azure Data Warehouse, Integration Services, Power BI) 

  • Experience with Hadoop, Hive and Spark will be advantageous

  • Good collaboration and communication skills to work effectively across teams and partner with business stakeholders  

Closing Statement:

At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.


Only shortlisted candidates will be notified.

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At CapitaLand, we believe the success of our talent strategy goes beyond just recruiting the right talent. We strive to help our people grow, recognise their talents and hard work, rewarding them for their efforts and achievements.

About CapitaLand Group

CapitaLand Group (CapitaLand) is one of Asia’s largest diversified real estate groups. Headquartered in Singapore, CapitaLand’s portfolio focuses on real estate investment management and real estate development, and spans across more than 260 cities in over 40 countries.

Within its ecosystem, CapitaLand has developed an integrated suite of investment management and operating capabilities that supports its real estate businesses and platforms in building core competencies across the real estate value chain. With this full stack of capabilities, CapitaLand can optimise the strategies of its listed real estate investment management business CapitaLand Investment, and its privately held property development arm CapitaLand Development; to drive competitive advantage for its businesses.

CapitaLand places sustainability at the core of what it does. As a responsible real estate company, CapitaLand contributes to the environmental and social well-being of the communities where it operates, as it delivers long-term economic value to its stakeholders.

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