Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& 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.
& Summary:
We are seeking experienced and passionate Snowflake Data Engineers to join our data engineering team. The ideal candidate will have strong expertise in Snowflake, SQL, Data Modelling, AWS – Glue, Lambda, Step Functionsand Python, along with exposure to modern data orchestration and cloud platforms
Responsibilities:
You will work on:
Design, develop, and optimize data pipelines and data models in Snowflake
Implement and maintain DBT workflows for data transformation and modeling.
Write efficient and scalable SQL queries for data extraction and reporting.
Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.
Integrate data from various sources using Python
Orchestrate workflows using Apache Airflow or similar tools
Ensure data quality, integrity, and governance across the pipeline.
Work with CI/CD tools to automate deployment and testing of data workflows.
Optimize performance and cost of Snowflake workloads.
Leverage cloud services from AWS for scalable data solutions.
Primary Skills:
Snowflake
SQL
Data Modelling
Python(Scripting, Data Manipulation)
AWS – Glue, Lambda, Step Functions
Secondary Skills:
Airflow (Workflow Orchestration)
CI/CD (Git, Jenkins, Azure DevOps, etc.)
PL/SQL, Teradata (for legacy support)
DBT (Data Build Tool)
Mandatory skill sets:
Snowflake SnowProCore certification
Preferred skill sets:
Analytical mindset with strong problem-solving ability
Years of experience required:
Experience: 5–8Years
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Master of EngineeringDegrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Data Engineering
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 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
May 21, 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.
