Senior Associate

3 weeks ago

Singapore Temasek Full time
Senior Associate (12 months contract), Investment Data Science (Data Engineer)

Join us to apply for the Senior Associate (12 months contract), Investment Data Science (Data Engineer) role at Temasek .

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$389 billion (US$288b, €267b, £228b, RMB2.08t) as of 31 March 2024. Marking our unlisted assets to market would provide S$31 billion of value uplift, bringing our mark-to-market net portfolio value to S$420 billion.

Our Purpose, "So Every Generation Prospers ," guides us to make a difference for today's and future generations.

Operating on commercial principles, we seek to deliver sustainable returns over the long term.

We have 13 offices in 9 countries: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia.

For more information, visit .

Additional resources:

  • Temasek Review 2024
  • Sustainability Report 2024
Introduction

Temasek is looking to add a Data Engineer to work closely with the Investment Data Science team to build, deploy, and manage data and analytics workflows used in our data-driven investment analysis process.

Responsibilities
  • Build tools and automation capabilities for data pipelines to improve efficiency, quality, and resiliency of our data analytics platform.
  • Partner with investment professionals, quantitative researchers, and data scientists to design, develop, and deploy solutions that answer fundamental questions about companies, sectors, countries, and financial markets.
  • Explore new external data sources to assess availability and quality.
  • Develop solutions that enable investment professionals and data science teams to extract insights from data, including owning data ingestion and transformation processes.
Requirements
  • Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related fields.
  • Passion for working with data and developing software to solve data processing challenges.
  • Proficiency in building, tuning, and debugging ETL pipelines in Python, including libraries like Pandas and Numpy, and testing frameworks like PyTest.
  • Experience with SQL and relational databases; Snowflake experience is strongly preferred.
  • Experience with cloud technologies such as AWS, Kubernetes.
  • Experience with Data Warehousing and Machine Learning workflows.
  • Experience with CI/CD workflows is preferred.
  • Experience with containerized services.
  • Strong written and verbal communication skills.
Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Other

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