Work location: Singapore
Salary:
Industry: IT - Software
Get to know our Team:
Data Engineering runs the code, pipeline and infrastructure that extracts, processes and prepares every piece of data generated or consumed by Grab’s systems. We are a diverse team of software engineers that not only work to solve all kinds of data related problems faced by teams from all corners of Grab but we also act as a bridge that ties everyone together through data. As data in Grab never stops growing, this team also never stops, learning, innovating and expanding so that we can bring in or build the latest and best tools, technology to ensure the company’s continued success.
Get to know the Role:
Database Engineers in Grab get to work on and support 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.
The day-to-day activities:
Manage, maintain and monitor a multitude of Redis/Elasticsearch clusters, ensuring obligations to SLAs
Diagnose, mitigate and communicate database (Redis/Elasticsearch) related issues to relevant stakeholders both independently and collaboratively and take actions to prevent recurrence
Advise on and implement the best practices for business in each phase of an Elasticsearch cluster lifecycle: Planning, Provisioning, Tuning, Upgrading, Decommissioning
Advice and support product, engineering and operation teams.
Work with engineering and operations team to automate and innovate new approaches driving scalability, reliability and performance
R & D on new features and for innovative solutions to push boundaries as domain expertise for elasticsearch
Participate in on-call rotations
The must haves:
Preferably a degree in computer science, software engineering, information technology or related fields
Strong CS fundamentals (with competencies in algorithms and data structures)
Domain experience in the Elasticsearch and also the use of Kibana and X-Pack
Experience in provisioning & managing Elasitcsearch clusters
Proficiency in at least one scripting/programming languages – Golang, Python, JSON, YAML, Shell
Hands-on experience with Amazon Web Services (AWS) such as RDS, Elasticache, S3, Route 53, VPCs, CloudWatch, Lambda scripts and etc.
Strong problem solving, interpersonal and communication skills
Strong planning and organising skills
Team player, independent, highly motivated and self-manageable
Responsible, dedicated and participate in on-call rotations.
Comfortable with collaborative tools such as slack,workday, wikis and basic ticket tracking systems - JIRA
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Work location: Singapore
Salary: Competitive