Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job Description & Summary
The Opportunity
When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our cutting-edge hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in energetic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data Engineering team you will design, build, and maintain productive data pipelines using PySpark and SQL. As a Senior Associate you will leverage your technical strengths to analyze complex concepts, guide and mentor others, and maintain professional standards while delivering top-quality data solutions.



This position provides an exciting prospect to work in Microsoft Azure environments and collaborate with stakeholders to support business intelligence and advanced analytics initiatives.

Responsibilities
Design, build, and maintain streamlined data pipelines using PySpark and SQL
Analyze complex concepts and deliver rigorous data solutions
Guide and mentor team members in technical skills
Collaborate with stakeholders to support business intelligence initiatives
Uphold qualified standards in engineering practices
Leverage Microsoft Azure environments for data processing
Identify opportunities for process improvements in data workflows
Secure communication across cross-functional teams

What You Must Have
Bachelor's Degree
4 years of experience in data engineering
Oral and written proficiency in English required

What Sets You Apart
Bachelor's or Master's Degree in Computer Science, Engineering, Information Systems, or related field
Microsoft Certified: Azure Data Engineer Associate
Microsoft

📌 Fabric+pyspark+sql Senior Associate Pune
🏢 PricewaterhouseCoopers
📍 Pune