Cloud Analytics Engineer
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Job Location:
Kuala Lumpur - Malaysia
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Prudentials purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured for our people customers and partners. We provide a platform for our people to do their best work and make an impact to the business and we support our peoples career ambitions. We pledge to make Prudential a place where you can Connect Grow and Succeed.
This role will be part of Group-Wide Information Security team under Security metrics and Analytics function with primarily responsibility of developing and implementing in-house-driven data analytics and security automation program that are aimed to strengthen the overall information security control capabilities through automated discovery of measurable security risks automated orchestration of risk reduction exercise and visualization of reduction of risks / risk exposures. The scopes of the automation opportunities cover all aspects of information security such as but not limited to: data security vulnerabilities management network security threats analysis and software development.
To be successful in this role candidate must have strong passion in both IT security through automation and Machine learning / data analytics programming using Python Keras and Tensorflow.
We are seeking a highly motivatedCloud Analytics Engineerto join our Cloud Economics and Intelligence team under Group Technology Infrastructure Engineering organization. This role blendsdata engineering analytics and emerging AI technologiesto drive insights and build intelligent systems that optimize cloud investments and business outcomes.
You will work mostly onAzure Data Factory Azure Databricks-based data pipelines developanalytical models and contribute toGen-AI agentic chatbot / LLM initiativesto improve operational efficiencies and internal use cases.
Key Responsibilities:
- Design build and optimizedata pipelinesandanalytics workflowsusingAzure Databricks Spark and Delta Lake.
- Develop and operational support ofdata pipelines workflows and scheduler Airflow DAGS data schemas/tables that feeds into dashboards reports and data modelsto support cloud cost optimization and economic operational stability.
- Collaborate with AI/ML engineers to integrateGen-AI capabilitiesinto analytics tools and chatbots or forecasting.
- Contribute to the development ofagentic AI chatbotsfor internal use cases (e.g. cloud cost Q&A forecasting assistants).
- Ensure data quality governance and performance across our data pipelines and analytics platform.
- Translate business requirements into scalable data and AI solutions.
Required Skills & Experience:
Technical Skills:
- 4 years of experience indata engineering data analytics with at least 2 years in acloud environment (Azure & GCP).
- Proficiency inAzure Data FactoryAzure DatabricksPySpark andSQL GCP Cloud functions BigQuery.
- Proficiency ofCI/CD version control (GitHub Azure DevOps) development of best practices standards and guidelines.
- Strong programming skills inPythonfor data extraction manipulation and automation.
- Experience in the support of containerization services (Kubernetes) and infrastructure provisioning services using Terraform.
- Exposure toAzure bot service generative AIandagentic chatbot frameworks(e.g. LangChain Mosaic AI MS AutoGen)
- Familiarity withLLMs embeddings and prompt engineering preferred.
- Familiarity withdata visualization tools (e.g. Power BI) and MS Fabric pipelines is a plus
Preferred Qualifications:
- Bachelors or Masters degree in Computer Science Data Science Engineering or related field.
- Highly self-driven demonstrate critical thinking team player & fast learner.
- Strong analytical/problem solving skills with the ability to work independently and effectively as a team.
Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex race age ethnic origin educational social and cultural background marital status pregnancy and maternity religion or belief disability or part-time / fixed-term work or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
พรูเด็นเชียล ประกันชีวิต (ประเทศไทย) มุ่งมั่นที่จะช่วยให้คุณก้าวหน้าในชีวิต โดยเราให้ความใส่ใจอย่างเต็มที่เพื่อการบริการที่เป็นเลิศแก่คุณ ค้นหาวิธีที่เราจะสามารถช่วยเหลือคุณได้ที่นี่ ... View more
