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. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Certification(s) Preferred Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Power BI Data Analyst Associate Preferred Knowledge/Skills Senior Associate – Microsoft Fabric

Dsigns and develops scalable data solutions in Microsoft Fabric. Works independently on modules and contributes to architecture discussions.

Design and implement end-to-end data pipelines in Fabric

Build and optimize Lakehouse architectures

Develop advanced Power BI semantic models and reports

Write and optimize complex SQL and PySpark transformations

Integrate data from multiple sources (APIs, databases, streaming)

Ensure data quality, governance, and security compliance

Collaborate with business stakeholders for requirements

Mentor junior team members

Mandatory Skills

Microsoft Fabric (Data Factory, Lakehouse, Warehouse)

Power BI (DAX, modeling, performance tuning)

SQL (advanced) Positive Knowledge Of PySpark / Spark

Data modeling (star/snowflake schema)

Azure services (ADLS, Synapse, etc.)

Understanding of CI/CD and DevOps practices 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 innovative 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 dynamic 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 opportunity 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 professional 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 Certified: Power BI Data Analyst Associate

Developing reports and dashboards using Power BI

Understanding DevOps practices in data projects

Familiarity with Delta Lake or Lakehouse architecture

Experience with Data Modeling and ETL orchestration

Excelling in problem-solving and teamwork

📌 Fabric Data Engineer- Senior Associate (Bengaluru)
🏢 PwC Acceleration Center India
📍 Bengaluru