Senior Engineer, Data Platform Operation & Service Management
Malaysia - KL Eco City
FWD Insurance
We’re FWD. A different kind of insurer with a vision to change the way people feel about insurance. Discover our story.About FWD Group
FWD Group is a pan-Asian life and health insurance business that serves approximately 30 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and tech-enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience. Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance. FWD Group is listed on the Main Board of The Stock Exchange of Hong Kong Limited under the stock code 1828.
For more information, please visit www.fwd.com
FWD Technology and Innovation Malaysia Sdn. Bhd., known as FWD TIM, was established in late 2019. Strategically located in Kuala Lumpur, FWD TIM serves as a pivotal shared service location within FWD Group, providing services to multiple markets across the Group. FWD TIM houses a diverse and talented workforce focused on essential business and technology services such as information security, cloud operations, IT solutions delivery, digital and data, actuarial, finance, investments, and customer service, among many others. FWD TIM is dedicated to drive and deliver operational excellence and efficiency, foster innovation and ensure regulatory compliance across all business functions as well as maintain a competitive edge in the market.
PURPOSE
To work with Group Data team to support the strategic direction and execution of big data operation within an organization
Major support and cooperate with Group Data team to design and deliver data solutions, enable DaaS and enhance data services/functionalities on Group Data Platform (GODP) and Data Mesh Platform
KEY ACCOUNTABILITIES
Support the development, implementation and provide 7x24 operations for the Group Data Platform (with Data Science and AI/ML capabilities) and its enterprise level to support business needs, ensuring that the data platform is robust, scalable, and aligned with the company's strategic goals
Participate in the cloud operation of Group Data Platform to establish platform connectivity and operation in the most efficient and secure ways, as well as executing end-to-end system integrations of data from multiple data sources to create a unified data platform, ensuring seamless data flow and accessibility for analytics and decision-making purposes
Leverage IaC processes, execute the provisioning and streamlining the deployment process of cloud platform services to achieve CI/CD delivery at both data platform and pipeline levels to reduce manual intervention, and ensure consistent and reliable cloud updates
Monitor and troubleshoot data platform issues by following the enterprise data platform monitoring solution to ensure continuous operation, implement proactive measures and quick resolutions to minimize downtime and disruptions, ensure comprehensive oversight, timely detection, and resolution of issues, and continuous improvement of monitoring tools and processes
Stay updated with the latest industry trends and technologies to drive innovation in data platform operations, continuously exploring new tools, techniques, and best practices to enhance data capabilities
Support on the data and data platform security which adheres to the highest security standards, including data encryption, access control, and threat detection, to meet company-wise compliance standards.
KEY PERFORMANCE INDICATORS
Successful implementation and maintenance of Group Data Platform
Ensure requirements are adequately captured
Group Data Platform implementation following Group Data Strategies and Group Infra Strategies
DECISION MAKING
Provide ideas to improve support implementation workflow
QUALIFICATIONS / EXPERIENCE
Bachelor in IT, Computer Science
At least 3 years of using Cloud technologies like Azure and AWS, candidate with Azure Big Data technologies will be an added advantage
Experience in cloud computing (storage, platforms, multi-PaaS/IaaS, and data)
Experience in cloud DevOps and CI/CD processes such as IaC to automate data platform deployment and optimize operational efficiency, familiar with Terraform, Ansible, Jenkins, Docker, Git and Azure DevOps
Experience supporting big data platforms and various database technologies including but not limited to RDBMS, NoSQL, ETL and event streaming (Kafka) will be an added advantage
Experience in maintaining 24X7 platform operation and supporting crises management will be an added advantage
Experience working in the insurance industry will be an added advantage
Good interpersonal communication skills at all levels of business users, IT, partners, and vendors
KNOWLEDGE & TECHNICAL SKILLS
Technical Skills:
Experience in cloud platforms and their operation, cloud operation such as Azure, AWS, GCP, or IBM. Azure is a must
Experience in container-based solutions such as Azure AKS, AWS EKS and Docker
Experience in implementing CI/CD pipelines to deliver computing, storage, and database administration via IaC (IaC) using Terraform, Ansible, Powershell, Cloudformation and etc
Experience in various kinds of data repositories such as RDBMS transactional databases MSSQL, PostgreSQL Oracle, MongoDB, and Big Data storages including ADLS Gen2, S3 bucket and Databricks Delta Lake will be an added advantage
Experience in maintaining Confluent Kafka real-time streaming platform and Databricks big data platform’s operation and configuration management will be an added advantage.
Big advantage to have experience on big data platform and event streaming technologies such as Hadoops, Python, Apache Spark, Kafka, Confluent, Azure Event Hub, etc.
COMPETENCIES
Good communicator
Aligning with digital and group data architecture and infra operations perspectives
Result oriented and able to deliver under pressure
Good command Chinese and English
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Ansible Architecture AWS Azure Big Data CI/CD CloudFormation Computer Science Databricks DevOps Docker ETL Finance GCP Git Jenkins Kafka Machine Learning MongoDB MS SQL NoSQL Oracle Pipelines PostgreSQL Python RDBMS Security Spark Streaming Terraform
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