Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
AssociateJob Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Responsibilities:
Design, build, and optimize data models and transformations usingSnowflakeanddbt
Implement ELT pipelines leveraging Snowflake-native features (streams, tasks, clustering, SQL)
Develop and maintaindbtmodels, tests, documentation, and deployments
Ensure data quality, performance tuning, and cost optimization in Snowflake
Collaborate with analytics, BI, and business teams to deliver trusted datasets
Version control and CI/CD fordbtprojects (Git-based workflows)
Good to Have:
Experience building ingestion pipelines usingAzure Data Factory (ADF)
Understanding of Azure data ecosystem and cloud data integration patterns
Mandatory skill sets:
Snowflake + DBT (ADF good to have)
Preferred skill sets:
Snowflake +DBT(ADF good to have)
Years of experience required:
2—5 Years
Education qualification:
B.E.(B.Tech)/M.E/M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology, Bachelor of EngineeringCertifications (if blank, certifications not specified)
Required Skills
Microsoft AzureOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Geopolitical Forecasting, Geopolitical Risk Analysis, Global Macro, Inclusion {+ 19 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
May 26, 2026By continuing you agree to our Terms & Privacy Policy.