Bengaluru, Karnataka, India
Hybrid
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.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. "
Job Description & Summary: A career within…. 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 in order 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:
Design, develop, and maintain ETL/ELT pipelines using Snowflake and cloud services.
Build and optimize Snowflake databases, schemas, tables, views, stages, file formats, streams, tasks, and stored procedures.
Implement data ingestion frameworks using Snowpipe, COPY INTO, CDC, Streams, and Tasks.
Develop transformation logic using SQL, DBT, and Python.
Perform data migration from legacy platforms (Oracle, SQL Server, etc.) to Snowflake.
Design and maintain Bronze, Silver, and Gold data layers.
Implement security controls including RBAC, row-level security, masking policies, and governance standards.
Optimize Snowflake warehouse performance, query execution, clustering, and cost utilization.
Support reporting and analytics platforms such as Power BI and Tableau.
Perform source-to-target validation, data reconciliation, and data quality checks.
Collaborate with business stakeholders, Data Analysts, and BI teams to deliver analytics-ready datasets.
Mandatory skill sets:
Advanced SQL
Data Warehousing Concepts
SCD Type 1 & Type 2
Data Modeling
ETL/ELT Development
Data Migration
Preferred skill sets:
Knowledge of real-time data ingestion and CDC.
Experience with DBT and Airflow orchestration.
Years of experience required:
4-8
Education Details
B.Tech / M.Tech / MBA / MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
PlaywrightOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Creativity, Database Administration, Database Management System (DBMS), Database Performance Management, Database Quality Assurance, Database Troubleshooting, Data Error Checking, Data Integrity, Data Management, Data Management Plan (DMP), Data Management Platform (DMP), Data Profiling, Data Quality, Data Quality Assessment, Data Quality Assurance Testing, Data Quality Automation, Data Quality Improvement Plans (DQIP), Data Science Troubleshooting, Data Warehousing Quality Assurance, Embracing Change {+ 15 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
August 27, 2026Want to know if this job is worth applying to?