Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

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.

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.

& Summary: We are looking for a Snowflake Pro who can design, build, and optimize large-scale data solutions. If you can write lightning-fast SQL, build modular Python scripts, and craft high-performance ETL pipelines, you will feel right at home here.

Responsibilities: You will work on:

- Developing and optimizing Snowflake solutions for performance and scale • Writing, tuning, and troubleshooting complex SQL queries and stored procedures • Creating modular Python scripts (Pandas, NumPy) for automation & data transformation • Designing efficient data models and database structures • Building reliable batch & near real-time ETL pipelines • Optimizing large datasets for speed and cost efficiency What we are looking for:
- 5+ years in Snowflake data engineering • Expert-level SQL with strong performance tuning skills • Solid Python skills for automation & transformation • Good understanding of data modelling and database design • Mandatory:



Snowflake SnowPro Core certification • Nice to have: Exposure to DBT for data transformations • Analytical mindset with strong problem-solving ability Mandatory skill sets: Snowflake SnowPro Core certification Preferred skill sets: Analytical mindset with strong problem-solving ability Years of experience required: Experience: 5+ years Education Qualification:

BE, B.Tech, ME, M.Tech, MBA, MCA or equivalent qualification preferred

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

Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of Engineering

Degrees/Field of Study preferred

Certifications (if blank, certifications not specified)

Required Skills

Amazon Web Services (AWS), Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, 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, Data Quality, Data Strategy {+ 22 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

August 10, 2026

📌 IN_Associate –Snowflake Senior Data Engineer– Data and Analytics – Advisory – Bangalore (Bengaluru)
🏢 PwC
📍 Bengaluru