Solution Analyst

Hyred; Kuala Lumpur; On-site; MYR 150,000 - 200,000; Full time

Job summary

An established industry player in the insurance sector is seeking a skilled data engineer with expertise in Azure and Google Cloud Platform. This role involves managing the technology ecosystem that supports actuarial processes, developing data pipelines, and ensuring high performance and reliability. You will collaborate with various teams to design and maintain actuarial tools while driving continuous improvement initiatives. If you have a passion for cloud-native development and data engineering, this opportunity offers a chance to make a significant impact in a dynamic environment.

Qualifications

• 7 to 10 years of relevant experience in cloud and data engineering.
• Strong proficiency in Azure and GCP for actuarial workloads.

Responsibilities

• Manage technology ecosystem for actuarial processes, ensuring performance.
• Develop and optimize data pipelines and automation using Databricks.

Skills

Azure

Google Cloud Platform (GCP)

Data Engineering

Workflow Automation

Python

SQL

CI/CD Pipelines

Infrastructure as Code (IaC)

Tools

Databricks

Collibra

Unify

Pathwise

Prophet

Job description

Our client is a leading global insurance player.

Job Description

This role requires strong expertise in Azure and Google Cloud Platform (GCP) environments, along with solid experience in data engineering and tools such as Databricks and Collibra.

Key Responsibilities

• Own and manage the technology ecosystem supporting actuarial processes, ensuring high performance and reliability.

• Work collaboratively with Actuarial, Data, and IT teams to design and maintain actuarial tooling and workflows.

• Develop and optimize data pipelines and automation using tools like Databricks, Unify, and Collibra.

• Integrate actuarial modeling software (e.g., Pathwise, Prophet) into cloud environments (Azure, GCP).

• Translate business requirements into scalable, efficient technical solutions.

• Monitor and maintain cloud infrastructure, adhering to security, compliance, and performance best practices.

• Identify and drive continuous improvement initiatives through cloud-native tools and data engineering practices.

• Provide support and technical guidance to actuarial users on tool functionality and troubleshooting.

• Keep abreast of emerging technologies related to actuarial tech, cloud, and data management.

Requirements

• 7 to 10 years of relevant working experience.

• Strong proficiency in Azure and GCP for actuarial or analytical workloads.

• Background in data engineering, workflow automation, and cloud-native development.

• Hands-on experience with Databricks for large-scale data processing.

• Proficient in Python, SQL, or similar scripting languages.

• Experience with CI/CD pipelines, Infrastructure as Code (IaC), and cloud security best practices.