Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job 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.
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.
* 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
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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, 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.
Mandatory Skill sets:
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.
Preferred Skill sets:
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.
Years of Experience Required:
4-7 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: MBA (Master of Business Administration), Master of Engineering, Bachelor of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Data Modeling
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, 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 {+ 38 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
April 15, 2026
