Job Description

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.

Microsoft Fabric

  • Leads delivery of Microsoft Fabric solutions, defines architecture, and manages teams and client relationships.
  • Define data architecture and solution design using Microsoft Fabric
  • Lead large-scale data transformation and migration projects
  • Oversee development of enterprise-grade data platforms
  • Ensure governance, security, and compliance frameworks
  • Drive performance optimization and cost management
  • Manage stakeholders and translate business needs into technical solutions
  • Lead and mentor teams (Associates & Senior Associates)
  • Support pre-sales, proposals, and solution demos

Mandatory Skills

  • Deep expertise in:
    • Microsoft Fabric ecosystem (end-to-end) , Pyspark
    • Data architecture and enterprise data platforms
  • Strong leadership in:
    • Team management
    • Client engagement
  • Advanced knowledge of:
    • Power BI (enterprise deployment)
    • Data governance (Purview, security models)
    • Cloud architecture (Azure)
  • Familiarity with:
    • Agile delivery models
    • Cost optimization strategies
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 and Analytics Engineering team you will drive the development of data pipelines and analytics platforms using Microsoft Fabric. As a Senior Manager you will influence project direction through your advanced knowledge of cloud technologies, securing operational excellence and delivering results that align with client objectives.

Responsibilities

  • Drive the creation of data pipelines and analytics platforms using Microsoft Fabric
  • Influence project strategies through advanced knowledge of cloud technologies
  • Maintain operational excellence in project execution and delivery
  • Collaborate with clients to align results with their objectives
  • Lead teams in overcoming technical challenges and complexities
  • Foster a results-oriented environment focused on continuous improvement
  • Mentor and develop team members to enhance their technical skills
  • Analyze project outcomes and implement feedback for future initiatives

What You Must Have

  • Bachelors Degree
  • 12 years of experience
  • Oral and written proficiency in English required

What Sets You Apart

  • Bachelors Degree in Engineering, Technology, or MBA preferred
  • Demonstrating hands-on experience in Cloud Analytics
  • Leading large-scale transformation programs in Cloud
  • Designing and deploying data pipelines using Azure Data Services
  • Architecting PySpark Notebooks for large-scale datasets
  • Engaging with business stakeholders for technical solutions
  • Possessing business/domain knowledge in Financial Services or Healthcare
  • Familiarity with data visualization tools such as Tableau


Job Details

Role Level: Not Applicable Work Type: Full-Time
Country: India City: Bengaluru East ,Karnataka
Company Website: https://jobs-ta.pwc.com/global/en/ACs-in-India-Career-Site Job Function: Engineering
Company Industry/
Sector:
Professional Services

What We Offer


About the Company

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