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Cloud Analytics Engineer

Prudential provides life and health insurance and asset management to 18 million customers across 24 markets in Asia and Africa.
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
Finance · AI

Description For Cloud Analytics Engineer

Join Prudential's Cloud Economics and Intelligence team as a Cloud Analytics Engineer, where you'll blend data engineering, analytics, and emerging AI technologies to optimize cloud investments and drive business outcomes. This role, part of the Group Technology Infrastructure Engineering organization, focuses on building and maintaining sophisticated data pipelines using Azure Data Factory and Databricks, while also contributing to cutting-edge Gen-AI initiatives. You'll work with state-of-the-art tools and technologies to develop analytical models and improve operational efficiencies through intelligent automation.

The position offers an opportunity to work with advanced cloud technologies and AI systems, including LLMs and agentic chatbots, while solving complex business challenges. You'll be part of a forward-thinking team that values innovation and technical excellence, working on projects that directly impact the company's cloud infrastructure and operational efficiency.

Prudential, with its presence across 24 markets in Asia and Africa, provides a stable yet dynamic environment for career growth. The company's commitment to digital transformation and AI adoption makes this role particularly exciting for someone looking to work with cutting-edge technologies in a global financial services context.

The ideal candidate will bring a strong technical background in data engineering and analytics, combined with cloud expertise and a passion for AI/ML technologies. This role offers the perfect blend of technical challenge and business impact, with opportunities to work on innovative projects while contributing to Prudential's digital transformation journey.

Last updated 9 days ago

Responsibilities For Cloud Analytics Engineer

  • Design, build, and optimize data pipelines and analytics workflows using Azure Databricks, Spark, and Delta Lake
  • Develop and support data pipelines, workflows and scheduler, Airflow DAGS, data schemas/tables
  • Collaborate with AI/ML engineers to integrate Gen-AI capabilities into analytics tools and chatbots
  • Contribute to the development of agentic AI chatbots for internal use cases
  • Ensure data quality, governance, and performance across data pipelines
  • Translate business requirements into scalable data and AI solutions

Requirements For Cloud Analytics Engineer

Python
Kubernetes
  • 4+ years of experience in data engineering, data analytics with 2 years in cloud environment (Azure & GCP)
  • Proficiency in Azure Data Factory, Azure Databricks, PySpark, and SQL, GCP Cloud functions, BigQuery
  • Proficiency of CI/CD, version control (GitHub, Azure DevOps)
  • Strong programming skills in Python for data extraction, manipulation and automation
  • Experience in containerization services (Kubernetes) and infrastructure provisioning
  • Exposure to Azure bot service, generative AI and agentic chatbot frameworks
  • Familiarity with LLMs, embeddings, and prompt engineering
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering or related field
  • Strong analytical/problem solving skills

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