Senior Associate - Data Engineer (rms)(pwc Acceleration Center Kuala Lumpur)
PwC PricewaterhouseCoopers GmbH
Kuala Lumpur, Malaysia
Python and sql expertise
Data pipeline development and optimization
Cloud platform experience (aws, azure, gcp)
At PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis, generating valuable insights and recommendations
Job Summary
At PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis, generating valuable insights and recommendations.
Key responsibilities include leading the development, optimization, and maintenance of complex data pipelines, working extensively with cloud platforms, and supporting data scientists by preparing data for machine learning models.
The role requires a Bachelor's or Master's degree in a quantitative field, 4+ years of data engineering experience with strong Python and SQL skills, and a solid understanding of data foundations and cloud solutions.
Matching Summary
At PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis, generating valuable insights and recommendations.
Skills & Requirements
Must-have
Python and SQL expertise
Data pipeline development and optimization
Cloud platform experience (AWS, Azure, GCP)
Data modeling and database design
ETL, Spark, Databricks, Airflow tools
Nice-to-have
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
Proactive mindset and passion for learning
Experience with GenAI solutions
Familiarity with insurance liabilities
Key Requirements
4+ years of data engineering experience
Bachelor's or Master's degree in quantitative fields
Strong hands-on experience in Python, SQL, Excel, VBA
Experience with data engineering tools (ETL, Spark, Databricks, Airflow)
Experience with cloud platforms (AWS, Azure, Google Cloud)
Familiarity with database design and big data processing