Data Analytics Engineer

Location: Singapore, Singapore, SG

Company: Advanced Micro Devices

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What you do at AMD changes everything 

At AMD, we push the boundaries of what is possible.  We believe in changing the world for the better by driving innovation in high-performance computing, graphics, and visualization technologies – building blocks for gaming, immersive platforms, and the data center. 

Developing great technology takes more than talent: it takes amazing people who understand collaboration, respect, and who will go the “extra mile” to achieve unthinkable results.  It takes people who have the passion and desire to disrupt the status quo, push boundaries, deliver innovation, and change the world.   If you have this type of passion, we invite you to take a look at the opportunities available to come join our team.


Data Analytics Engineer


The Role:

The Analytics Engineer acts as the bridge between data engineers and data analysts. It is their job to build well tested, up to date and documented datasets that the rest of the company can use to answer their own questions. They are technical enough to easily be able to apply software engineering best practices like version control and CI/CD but also need to be able to communicate effectively with stakeholders to understand the decisions to be made as input to defining the appropriate datasets.


The Person:

The ideal candidate would have professional experience developing and deploying front-end and backend applications according to today’s best practices with a strong desire to learn new technologies and to help build better tools in a team environment.


Key Responsibilities:

  • Build data products that enable stakeholders to do their jobs effectively and answer their own questions.
  • Analyze and organize raw data to build data systems, algorithms, prototypes and pipelines.
  • Prepare data for prescriptive and predictive modeling to evaluate business needs and achieve objectives.
  • Use tools and techniques to visualize data in easy-to-understand formats.
  • Work with multi-functional stakeholders to assist with data-related technical issues and support their data infrastructure needs.


Preferred Experience:

  • Comfortable adopting software engineering best practices like version control and using Git and teaching others how to adopt these best practices.
  • Experience with SQL, NoSQL databases, including MySQL, Oracle, Snowflake, etc
  • Experience with object-oriented/object function scripting languages: Python, Java, R, etc.
  • Experience with data warehousing solutions, and ETL tools
  • Experience with PowerBI, Azure, DevOps, dbt
  • Experience with machine learning
  • Knowledge of Big Data-related skills like MapReduce, etc
  • Advanced working SQL knowledge. You should possess ability to write SQL which is easy to understand, simple to troubleshoot and that is highly performant.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Strong project management and organizational skills.


Academic Credentials:

  • BS or MS in Computer Science or equivalent experience
  • Knowledge of Businesses Intelligence




AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers and will consider all applicants without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law. EOE/MFDV


Requisition Number: 140866 
Country/Region/Location: Singapore State/Province: Singapore City: Singapore 
Job Function: 
Product Engineering  

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