Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Associate
& 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.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Responsibilities:
Design, develop, and optimize ELT/ETL pipelines using Snowflake and other data integration tools.
Build and maintain scalable, performant, and secure data warehouse solutions on Snowflake.
Collaborate with data scientists, analysts, and business teams to understand data requirements and translate them into technical solutions.
Develop and optimize SQL queries, views, and stored procedures within Snowflake.
Manage data ingestion from various sources such as batch, streaming, APIs
Implement and enforce data quality, data governance, and security best practices.
Monitor performance and optimize Snowflake environments for cost and efficiency.
Automate deployment and testing processes using CI/CD pipelines.
Troubleshoot and resolve data issues and performance bottlenecks.
Stay updated with the latest Snowflake features, data engineering trends, and best practices.
Qualifications:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
Proven experience (typically 5+ years) as a Data Engineer working with Snowflake.
Strong proficiency in SQL and experience with Snowflake-specific SQL features.
Experience with data integration tools such as Apache Airflow,dbt, Talend, Informatica, or similar.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience with programming languages like Python, Scala, or Java for data processing and orchestration.
Mandatory skill sets:
Snowflake
Preferred skill sets:
Snowflake
Years of Experience Required:
6 to 9 years
Education Qualification:
BE, B.Tech, MCA, M.Tech, MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
AWS Cloud Computing
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
April 15, 2026
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.
PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
