PwC

IN_Associate –Snowflake Senior Data Engineer – Data and Analytics – Advisory – Bangalore

Bengaluru Millenia

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hirly's read of this role

Role family: Data & ML
Seniority: Senior
Country: IN
Work mode: On-site / unstated
First seen by hirly: 9 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

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:

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

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

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, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, 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, Data Lake, Data Modeling, Data Pipeline {+ 25 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

August 25, 2026

Original posting on PwC's site ↗

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