Software Engineer, Backend

**Job Summary**:
**Job Type**
Permanent

**Seniority**

**Years of Experience**
Information not provided

**Tech Stacks**
AWS Rest API Go Analytics Google Cloud Presto Azure Java Spark Typescript SQL Scala Node.js Hadoop React Python
- Backend Engineers on Data Platforms in Grab get to work on one of the largest and fastest growing datasets of any company in South East Asia. We operate in a challenging, fast paced and ever changing environment that will push you to grow and learn. You will be involved in various areas of Grab’s Data Ecosystem including reporting & analytics, data infrastructure, and various other data services that are integral parts of Grab’s overall technical stack.
- **Qualifications**

**Requirements**:

- A degree or higher in Computer Science, Electronics or Electrical Engineering, Software Engineering, Information Technology or other related technical disciplines.
- Designed high-performance scalable infrastructure stacks for Big Data Analytics.
- Write unit, functional and end-to-end tests.
- Real passion for data, new data technologies, and discovering new and interesting solutions to the company’s data needs
- Excellent communication skills to communicate with the product development engineers to coordinate the development of data pipelines, and or any new products features that can be built on top of the results of data analysis
- Interest in staying updated with the latest developments in the field of artificial intelligence and machine learning.

**Good To Have**
- Experience in handling large data sets (multiple PBs) and working with structured, unstructured and geographical datasets
- Good experience in handling big data within a distributed system and knowledge of SQL in distributed OLAP environments.
- Knowledgeable on cloud systems like AWS, Azure, or Google Cloud Platform
- Familiar with tools within the Hadoop ecosystem, especially Presto and Spark.
- Good experience with programming languages like Python, Go, Scala, Java, or scripting languages like Bash.
- Deep understanding on databases and best engineering practices - include handling and logging errors, monitoring the system, building human-fault-tolerant pipelines, understanding how to scale up, addressing continuous integration, knowledge of database administration, maintaining data cleaning and ensuring a deterministic pipeline
- Exposure to Generative AI and Large Language Models (LLMs) such as OpenAI’s GPT series, demonstrating a strong understanding of the capabilities and limitations of these models.
- Experience in prompt engineering, with the ability to craft effective prompts that guide AI models to produce desired outcomes.

**Additional Information**

**Benefits at Grab**:
**Benefits**

We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer:
- Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance.
- Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive.
- Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave.
- Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges.
- Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life.

We’ve got many different benefits hyper localised in each country. Speak to your recruiter during your interview to find out more.
- **What We Stand For At Grab**
- We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It’s not a box-ticking exercise; it’s who we are.