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PwC

Azure Databricks, IICS,AI - Senior Associate

Bangalore (SDC)- Business Bay - Pune

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hirly's read of this role

Seniority
Senior
Country
IN
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:Invite and give in the moment feedback in a constructive manner.Share and collaborate effectively with others.Identify and make suggestions for improvements when problems and/or opportunities arise.Handle, manipulate and analyse data and information responsibly.Follow risk management and compliance procedures.Keep up-to-date with developments in area of specialism.Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.Build and maintain an internal and external network.Seek opportunities to learn about how PwC works as a global network of firms.Uphold the firm's code of ethics and business conduct.

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 lead the end-to-end implementation of innovative Cloud data engineering solutions. As a Senior Associate, you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the intricacies of the data landscape. This role offers the chance to deepen your technical skills and enhance your professional brand in a dynamic and collaborative environment.

Responsibilities

  • Design and develop data solutions using Azure Databricks & IICS
  • Collaborate with cross-functional teams to deliver analytics projects
  • Analyze data to derive actionable insights for clients
  • Enhance data processing workflows for efficiency
  • Mentor and support junior data engineers in their tasks
  • Stay informed on advancements in data engineering technologies
  • Maintain adherence to data governance and security protocols
  • Conduct training sessions on recommended practices in data management

What You Must Have

  • Bachelor's Degree in Engineering, MCA, M.Sc, M.E, M.Tech, MBA
  • 4 years of experience
  • Oral and written proficiency in English required
  • BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

What Sets You Apart

  • Certifications in Azure or Databricks
  • Excelling in Azure cloud and data engineering solutions
  • Demonstrating planning and organization skills
  • Leading cloud development on agile teams
  • Understanding data management concepts and data modeling
  • Skilled in SQL and data extraction techniques
  • Utilizing Big Data frameworks like Hadoop and Spark
  • Knowledgeable in application DevOps tools and processes

Travel Requirements

Not Specified

Job Posting End Date

Original posting on PwC's site ↗

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