Senior Associate - Data Engineer (rms)(pwc Acceleration Center Kuala Lumpur)

PwC UK

Kuala Lumpur, Malaysia
Python and sql expertise
Data pipeline development and optimization
Cloud platforms (aws, azure, gcp)
Lead the development, optimization, and maintenance of complex data pipelines to handle large-scale data integration and transformation

Job Summary

  • Lead the development, optimization, and maintenance of complex data pipelines to handle large-scale data integration and transformation.
  • Work extensively with cloud platforms (e.g., AWS, Azure, Google Cloud) to design and deploy scalable data solutions.
  • Support data scientists and machine learning engineers by preparing data for machine learning and AI models.

Matching Summary

Lead the development, optimization, and maintenance of complex data pipelines to handle large-scale data integration and transformation.

Skills & Requirements

Must-have

  • Python and SQL expertise
  • Data pipeline development and optimization
  • Cloud platforms (AWS, Azure, GCP)
  • Data modeling and database design
  • ETL, Spark, Databricks, Airflow

Nice-to-have

  • Client relationship building
  • Mentoring junior engineers
  • Continuous learning and growth
  • Proactive mindset
  • Financial modeling techniques

Key Requirements

  • 4+ years of data engineering experience
  • Bachelor's or Master's degree in quantitative fields
  • Experience with GenAI solutions is an added advantage
  • Professional certifications (FRM, CFA) are an added advantage

Work Rights

Not specified

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