Senior Associate

3 weeks ago

Singapur, Singapore Temasek Holdings Full time

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Senior Associate (12 months contract), Investment Data Science (Data Engineer)

Location:

Singapore, SG,

Group: Portfolio Strategy & Risk Group

Department: Investment Data Science

Section: Investment Data Science

Job Type: Contract

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 at 31 March 2024. Marking our unlisted assets to market would provide S$31 billion of value uplift and bring 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 around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia.

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

Responsibilities
  • Build tools and automation capabilities for data pipelines that improve the efficiency, quality and resiliency of our data analytics platform
  • Partner with the 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 understand availability and quality =
  • Develop solutions that enable investment professionals and data science teams to efficiently extract insights from data. This includes owning the ingestion and transformation
Requirements
  • Bachelor’s Degree in Computer Science, Information Technology, Computer Engineering, and/or related fields
  • Passion for working with data and developing software to solve data processing challenges
  • Proficiency with building, tuning, and debugging ETL pipelines in Python , including common libraries (Pandas, Numpy), and testing frameworks (e.g. PyTest)
  • Experience working with SQL and relational databases, Snowflake is strongly preferred.
  • Experience working with or managing cloud technologies e.g. AWS, Kubernetes.
  • Experience with Data Warehousing and Machine Learning workflows
  • Experience with CI/CD workflows preferred
  • Experience with containerized services
  • Strong written and verbal communications skills

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