Nơi làm việc: Hồ Chí Minh
Mức lương:
Ngành nghề: CNTT - Phần mềm
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:
Provide support for analytics tools and workloads by responding to and resolving issues raised, and performing deeper dives to identify root causes.
Work in conjunction with analytics, data science and engineering teams to develop relevant scalable and performant data pipelines,data-marts, and data transformations.
Manage, monitor and maintain Grab’s analytics workloads to ensure the timely and accurate delivery of insights and reports.
Develop, evangelize and enforce quality and performance standards and best practices for analytics workloads that are deployed on Grab’s Data Engineering Infrastructure.
Participate in the development and management of a global Data Model for Grab’s entire data ecosystem to streamline data consumption and access across our entire organization.
Act as a conduit between Analytics and Engineering to identify gaps and to strengthen collaboration between these two teams
The Must Haves
Background in Computer Science, Engineering or other technical disciplines, or significant working experience in the area of big data analytics.
Strong communication skiils in English - both spoken and written.
Strong working knowledge and experience handling complex data workflows spanning across multiple large datasets that will facilitate performance tuning and optimization of big data workloads.
Very good familiarity and experience working with SQL in big data environments on distributed query engines.
Familiar in big data frameworks and engines like Presto, Hive, Spark and others.
Some experience with programming language like Python, Scala, Java, or scripting language like Bash
Familiar with databases and engineering standard methodologies - including handling and logging errors, system monitoring, and building human-fault-tolerant data pipelines.
Some familiarity with the AWS environment especially related to AWS’ suite of big data tools like EMR, S3, Redshift, Kinesis and others.
The Strong Pluses
Familiar with modern business intelligence tools like Tableau
Some familiarity with data analytics tools and languages like R, Pandas, Numpy, scikit-learn etc.
Familiar with scheduling tools like Azkaban, Airflow etc.
Knowledge of specialised data stores, e.g. Redis, Hbase, ElasticSearch, DynamoDB
Comfortable with common linux system administration tasks and commands.
Basic network and information security knowledge
Some / developing complex business metrics.experience understanding/managing
Get to know our Vietnam R&D Center:
Vietnam R&D Center at Grab focuses on building and nurturing the best engineering talents from diverse academic backgrounds and industry experiences to strategize and execute high profile projects through data-driven methodologies.
While it's important that we find the right top talents in the industries to join us, but it is our belief that it is critical that we must “nurture” and “grow” talents within Grab.
Join and grow together with us if you love you learn and mentor others, in a family-style R&D lab in HCMC, Vietnam.
Grab Vietnam
