▷ (10 / 10 / 2025) Snowflake Developer

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 engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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 organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations 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 : Responsibilities :

• Key Responsibilities :
• Design, develop, and implement data pipelines and ETL / ELT solutions in Snowflake.
• Create and optimize complex SQL queries, stored procedures, and views.
• Implement best practices for data modeling, partitioning, and clustering.
• Manage performance tuning, query optimization, and workload management.
• Integrate Snowflake with other data platforms, BI tools, and cloud services.
• Ensure data quality, governance, and security compliance.
• Collaborate with business and technical teams to gather requirements and deliver data solutions.
• Provide production support and troubleshoot Snowflake-related issues.

Education qualification :

Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline.

Education (if blank, degree and / or field of study not specified)

Degrees / Field of Study required : Bachelor Degree, Master Degree

Degrees / Field of Study preferred :

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering