Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior 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.
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:
We are seeking an experienced Snowflake DE with over 4-8 years of experience specializing in data services, and data platforms. The ideal candidate should have a strong background in designing and implementing scalable data solutions on Snowflake. Candidate should have hands-on knowledge working with Snowflake keeping aligned with latest trends in Snowflake.
Design, develop, and implement Snowflake-based data solutions.
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Optimize and tune Snowflake environments for performance and cost efficiency.
Develop and enforce best practices for data governance, security, and compliance.
Integrate Snowflake with other data tools and platforms.
Monitor and troubleshoot data pipelines and workflows.
Stay updated with the latest trends and advancements in Snowflake and cloud data warehousing.
Required Skills:
Extensive experience with Snowflake and data warehousing.
Proficiency in SQL and performance tuning.
Proficiency in PySpark/Python/Snowpark
Experience with working with dbt (Data Build Tool)
Strong understanding of ETL/ELT processes and tools.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Knowledge of data modeling, data integration, and data migration.
Familiarity with data governance, security, and compliance best practices.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Proficiency in SQL and performance tuning.
Proficiency in PySpark/Python/Snowpark
Experience with working with dbt (Data Build Tool)
Strong understanding of ETL/ELT processes and tools.
Mandatory skill sets:
Design, develop, and implement Snowflake-based data solutions.
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Optimize and tune Snowflake environments for performance and cost efficiency.
Preferred skill sets :
Extensive experience with Snowflake and data warehousing.
Proficiency in SQL and performance tuning.
Years of experience required:
4-8 Years
Education qualification:
B.Tech / M.Tech / MCA/MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
JavaOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 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 6, 2026Based on 1,355 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $128K and $209K (10th–90th percentile: $106K–$248K).
See the full Data & ML salary breakdown →