Senior Associate Data Engineer (PySpark)

Job description

PwC Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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PwC Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in cloud and automation engineering at PwC will focus on planning, designing, developing, testing and troubleshooting cloud-based applications on proprietary products and platforms, specialising in mass customization.

You will work across the complete cloud stack and have an in-depth knowledge of cloud storage and applications.

Working in this area, you will interact with product and project managers and other key stakeholders to drive an optimised solution within known constraints.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others.

Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths.

You are expected to anticipate the needs of your teams and clients, and to deliver quality.

Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
  
  
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
  
  
• Use critical thinking to break down complex concepts.
  
  
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
  
  
• Develop a deeper understanding of the business context and how it is changing.
  
  
• Use reflection to develop self awareness, enhance strengths and address development areas.
  
  
• Interpret data to inform insights and recommendations.
  
  
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
  
  

Industry/Sector
Technology

Specialism
Advisory - Other

Management Level
Senior Associate

Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in cloud and automation engineering at PwC will focus on planning, designing, developing, testing and troubleshooting cloud-based applications on proprietary products and platforms, specialising in mass customization.

You will work across the complete cloud stack and have an in-depth knowledge of cloud storage and applications.

Working in this area, you will interact with product and project managers and other key stakeholders to drive an optimised solution within known constraints.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others.

Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths.

You are expected to anticipate the needs of your teams and clients, and to deliver quality.

Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
  
  
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
  
  
• Use critical thinking to break down complex concepts.
  
  
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
  
  
• Develop a deeper understanding of the business context and how it is changing.
  
  
• Use reflection to develop self awareness, enhance strengths and address development areas.
  
  
• Interpret data to inform insights and recommendations.
  
  
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
  
  

The Delivery Excellence Reporting & Analytics team is looking for Senior Associate to join the program team! Our vision for the future is to deliver excellence, provide greater client value and lower the cost of delivery, through standardized solution and delivery across Advisory, by leveraging Solution Studio and PDM (PwC Delivery Methodology) that is powered by GenAI .

Skills Required

• Minimum 3 years of working experience, having strong Data Engineering skills to design and build scalable and enterprise grade data pipelines utilizing Pyspark , Python, SQL , Azure and Databricks.
  
  

• Having a strong technical background and implementing best practices on Databricks platform with a strong understanding of Workflows, DLT and Unity catalog.
  
  

• Having deep understanding of Data modeling techniques and Architecture , Delta Lake and Lakehouse architecture.
  
  

• Experience setting up CI/CD, automated testing and version control for fast and reliable deployments.
  
  

• Experience in ML techniques , RAG and GenAI based frameworks like Langchai n , LangGraph etc.
  
  

• Interest and enthusiasm for transforming the way that we will be delivering work as as part of the Delivery Excellence team
  
  

Travel Requirements
Not Specified

Job Posting End Date

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Professional Services

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