Databricks + AI - Associate
- Location
- Bangalore
- Work mode
- On-site
- Employment type
- Full-time
About the job
Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a Databricks + AI Associate you will support data engineering work that turns raw data into usable insights and helps shape data pipelines, integration, and transformation solutions for client work within our Data and Analytics Engineering practice. As an Associate you will contribute to project tasks, build your technical skills through a learning mindset, adapt to varied client needs, and take ownership of quality work while developing commercial awareness and a personal brand. In this role at PwC, you will work on data infrastructure and systems that support efficient processing and analysis, collaborate in a fast-paced setting, and apply feedback, critical thinking, and curiosity to grow while supporting team delivery.
Responsibilities
- Supporting data engineering projects by building and refining data pipelines, integration flows, and transformation logic
- Developing Databricks and cloud-based data solutions that move raw data into usable formats for reporting and analysis
- Assisting in data modeling, validation, and quality checks across data warehouse and data lake environments
- Writing and maintaining code for automation, orchestration, and repeatable data processing tasks
- Applying SQL, Python, and platform-specific tooling to troubleshoot data issues and improve pipeline performance
- Collaborating on AI-enabled data workflows and digital tooling to improve delivery speed and data usability
- Gathering input from technical and business stakeholders to clarify requirements and translate them into working solutions
- Documenting technical processes, standards, and solution details to support delivery consistency and future maintenance
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating coursework or project experience using Databricks and AI tools
- Applying data engineering concepts across pipelines, modeling, and validation tasks
- Utilizing cloud platforms such as AWS, Azure, or Snowflake
- Learning Agile practices while adapting to changing client needs
- Communicating clearly, listening actively, and asking thoughtful questions
Travel Requirements Not Specified Job Posting End Date
From PricewaterhouseCoopers Acceleration Center Private Limited's careers page (Workday), checked 31 Oct 2026.
How to apply
- Select Apply on pwc.wd3.myworkdayjobs.com. It opens PricewaterhouseCoopers Acceleration Center Private Limited's own application form in a new tab, run on Workday.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- PricewaterhouseCoopers Acceleration Center Private Limited will reply to you directly. No real employer asks you for money to apply.
Posted 14 Oct 2026 · checked 31 Oct 2026 · Report this job