Bengaluru Millenia, India
Onsite
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & Summary
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.Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Responsibilities:
Candidates with 9+ years of total experience with excellent communication skills, developing Power Platform enterprise level applications.
Strong prompt engineering skills
Hands on AI Builder integration expertise
Model-driven application with Dataverse (MS Structured Database), custom pages embedded in MDA.
Excellent understanding of Power platform and Licensing.
5 years’ experience in Building responsive PowerApps Canvas Application
5 years’ experience in Building flows in Power Automate
5+ years of exp. in building Power BI reports, dashboards
Logic Apps
Power Virtual Agents
GEN AI enablement in Data Visualization and Power Platform.
Working with custom components
Cloud & Desktop Flows
Business Process Flows
PowerApps Custom Connector
Access Control (App distribution, Security Roles)
Deployment of Apps in Production
Understanding of PowerApps and Power Automate native Data Loss Prevention Policies
Good understanding of SQL Databases, stored procedures, and data views (Good to have functional knowledge)
Experience supporting and working with cross-functional teams in a dynamic environment.
Experience in writing complex SQL queries to perform data analysis.
Strong experience in working in client facing roles.
Azure DevOps; Ability to engage with end users for requirement gathering and run agile ceremonies.
Understanding of Azure Data lake/data storage in order to output data from flows.
Mandatory skill sets:
Candidates with 9+ years of total experience with excellent communication skills, developing Power Platform enterprise level applications.
Strong prompt engineering skills
Hands on AI Builder integration expertise
Model-driven application with Dataverse (MS Structured Database), custom pages embedded in MDA.
Excellent understanding of Power platform and Licensing.
5 years’ experience in Building responsive PowerApps Canvas Application
5 years’ experience in Building flows in Power Automate
5+ years of exp. in building Power BI reports, dashboards
Preferred skill sets:
Certifications: PL 100, PL 200, PL 300, PL 900
Understanding in Azure Data Engineering (ADF, Databricks etc.) and integration across different application.
Years of experience required:
Experience: 8-10 Years
Education qualification:
B.Tech / M.Tech / MCA/M.E
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Artificial IntelligenceOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
June 25, 2026Want to know if this job is worth applying to?