Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Manager

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 PWCAt 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:

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 Functions and Python, along with exposure to modern data orchestration and cloud platforms.

Responsibilities:

You will work on:

Develop ETL/ELT pipelines using AWS services such as Glue, Step Functions, Lambda, and DMS.

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 SnowPro Core certification

Preferred skill sets:

Analytical mindset with strong problem-solving ability

Years of experience required:

Experience: 5 – 8 Years

Education qualification:

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Full Stack Development

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, 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 + 35 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 22, 2026

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