Get to Know the Team
- Clickstream Intelligence Platform (Scribe) is Grabs in-house app instrumentation and insights platform that captures and analyzes user clickstream activity across all Grab apps. The platform supports observability real-time personalization and business analytics by processing tens of billions of events per hour at petabyte scale.
- Customer Data Platform (CDP) enables Grab Teams to onboard and register Grabs customer data and make it available for Online Serving ML Models Segmentation and Real Time targeting to power personalization use cases across the company. Our platform is used across many mission-critical Grab services such as app personalization experimentation ads serving and marketing.
Get to Know the Role
We are looking for a Senior Software Engineer for either the Scribe or CDP team that that has multiple different technical stacks:
- Programming Languages: Python Go Scala
- Data Streaming & Processing: Kafka Apache Flink Apache Spark
- Data Infrastructure & Tooling: Event gateways Schema validation tools Instrumentation testing frameworks
You will report to Engineering Manager in Singapore and work onsite at Grab Vietnam office (CMC CREATIVE SPACE D.7 HCMC).
The Critical Tasks You Will Perform
- Design and improve clickstream data pipelinesfrom event ingestion to insight deliveryand contribute to services/tools for understanding user behavior.
- Build scalable platform capabilities for user data onboarding online serving and real-time data pipelines/architecture.
Qualifications :
What Essential Skills You Will Need
- Software Engineering Computer Science or related undergraduate degree.
- Minimum of 5 years of experience in Software Engineering.
- Proficient in at least one of the following programming languages: Python Go or Scala
- Experience with data processing technologies such as Apache Flink (for real time processing) and Apache Spark (for batch processing)
- Experience developing large-scale backend or data systems and has good understanding of technical trade offs and evaluations needed to enable high load low latency systems while maintaining system reliability and cost efficiency.
- Proactive and product-ownership mindset capable of delivering 0-to-1 products to facilitate rapid experimentation
- Good English communications with prior work experience in regional & global environment
- Experience engaging with AI tools and emerging technologies to enhance productivity improve workflows and contribute new ideas.
Desirable Experience
- Experience building software using AI / ML
- Experience with AWS Terraform and Kubernetes
- Proficiency in CI/CD tools (Jenkins GitLab etc.)
- Experience building customer data platforms clickstream platforms or marketing / ads systems
Additional Information :
Life at Grab
We care about your well-being at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
- Balance personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Full-time
Get to Know the TeamClickstream Intelligence Platform (Scribe) is Grabs in-house app instrumentation and insights platform that captures and analyzes user clickstream activity across all Grab apps. The platform supports observability real-time personalization and business analytics by processing ten...
Get to Know the Team
- Clickstream Intelligence Platform (Scribe) is Grabs in-house app instrumentation and insights platform that captures and analyzes user clickstream activity across all Grab apps. The platform supports observability real-time personalization and business analytics by processing tens of billions of events per hour at petabyte scale.
- Customer Data Platform (CDP) enables Grab Teams to onboard and register Grabs customer data and make it available for Online Serving ML Models Segmentation and Real Time targeting to power personalization use cases across the company. Our platform is used across many mission-critical Grab services such as app personalization experimentation ads serving and marketing.
Get to Know the Role
We are looking for a Senior Software Engineer for either the Scribe or CDP team that that has multiple different technical stacks:
- Programming Languages: Python Go Scala
- Data Streaming & Processing: Kafka Apache Flink Apache Spark
- Data Infrastructure & Tooling: Event gateways Schema validation tools Instrumentation testing frameworks
You will report to Engineering Manager in Singapore and work onsite at Grab Vietnam office (CMC CREATIVE SPACE D.7 HCMC).
The Critical Tasks You Will Perform
- Design and improve clickstream data pipelinesfrom event ingestion to insight deliveryand contribute to services/tools for understanding user behavior.
- Build scalable platform capabilities for user data onboarding online serving and real-time data pipelines/architecture.
Qualifications :
What Essential Skills You Will Need
- Software Engineering Computer Science or related undergraduate degree.
- Minimum of 5 years of experience in Software Engineering.
- Proficient in at least one of the following programming languages: Python Go or Scala
- Experience with data processing technologies such as Apache Flink (for real time processing) and Apache Spark (for batch processing)
- Experience developing large-scale backend or data systems and has good understanding of technical trade offs and evaluations needed to enable high load low latency systems while maintaining system reliability and cost efficiency.
- Proactive and product-ownership mindset capable of delivering 0-to-1 products to facilitate rapid experimentation
- Good English communications with prior work experience in regional & global environment
- Experience engaging with AI tools and emerging technologies to enhance productivity improve workflows and contribute new ideas.
Desirable Experience
- Experience building software using AI / ML
- Experience with AWS Terraform and Kubernetes
- Proficiency in CI/CD tools (Jenkins GitLab etc.)
- Experience building customer data platforms clickstream platforms or marketing / ads systems
Additional Information :
Life at Grab
We care about your well-being at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
- Balance personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Full-time
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