Senior Data Engineer: Actuarial Analytics & Cloud Pipelines

PwC Malaysia; Kuala Lumpur; On-site; MYR 70,000 - 100,000; Full time

Job summary

A global technology consulting firm in Kuala Lumpur seeks a Senior Associate in Actuarial Services. This role entails leading data engineering projects, utilizing advanced Python and SQL to manage complex data pipelines and cloud solutions. The ideal candidate will possess a degree in a quantitative field and have solid experience in data engineering tools and methodologies. Join us to innovate within the actuarial domain and help organizations navigate risks effectively.

Qualifications

• 4+ years of experience in data engineering with a strong expertise in Python and SQL.
• Strong hands-on experience in data engineering tools and cloud platforms.
• Insurance and financial services domain knowledge is a plus.

Responsibilities

• Lead development of data pipelines and maintain data processing systems.
• Work extensively with cloud platforms to design and deploy data solutions.
• Prepare datasets for advanced analytics and machine learning.

Skills

Data engineering

Python

SQL

Analytics

Problem-solving

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

ETL tools

Spark

Databricks

AWS

Azure

Power BI

Job description

A global technology consulting firm in Kuala Lumpur seeks a Senior Associate in Actuarial Services. This role entails leading data engineering projects, utilizing advanced Python and SQL to manage complex data pipelines and cloud solutions. The ideal candidate will possess a degree in a quantitative field and have solid experience in data engineering tools and methodologies. Join us to innovate within the actuarial domain and help organizations navigate risks effectively.