Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

& 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.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

*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 workplace 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: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities,



including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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.

Job Position Title:

Manager_ Snowflake Data Engineer__ Data & Analytics _ Advisory _Bangalore

Responsibilities:

Position: Snowflake Data Engineer / Manager

Experience: 8-11 Years

Location: Bangalore

Type: Full Time

Certifications: SnowPro Core(mandatory), SnowPro .

& summary:

We are seeking an experienced Snowflake DE with over 4-8 years of experience specializing in data services, and data platforms. The ideal candidate should have a strong background in designing and implementing scalable data solutions on Snowflake. Candidate should have hands-on knowledge working with Snowflake keeping aligned with latest trends in Snowflake.

Responsibilities

- Design, develop, and implement Snowflake-based data solutions.

- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.

- Optimize and tune Snowflake environments for performance and cost efficiency.

- Develop and enforce best practices for data governance, security, and compliance.

- Integrate Snowflake with other data tools and platforms.

- Monitor and troubleshoot data pipelines and workflows.

- Stay updated with the latest trends and advancements in Snowflake and cloud data warehousing.

Required Skills

- Extensive experience with Snowflake and data warehousing.

- Proficiency in SQL and performance tuning.

- Proficiency in PySpark/Python/Snowpark

- Experience with working with dbt (Data Build Tool)





- Strong understanding of ETL/ELT processes and tools.

- Experience with cloud platforms such as AWS, Azure, or Google Cloud.

- Knowledge of data modeling, data integration, and data migration.

- Familiarity with data governance, security, and compliance best practices.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills.

Preferred Qualifications

- Proficiency in SQL and performance tuning.

- Proficiency in PySpark/Python/Snowpark

- Experience with working with dbt (Data Build Tool)

- Strong understanding of ETL/ELT processes and tools.

Mandatory skill sets:

- Design, develop, and implement Snowflake-based data solutions.

- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.

- Optimize and tune Snowflake environments for performance and cost efficiency.

preferred skill sets :

- Extensive experience with Snowflake and data warehousing.

- Proficiency in SQL and performance tuning.

Years of experience required:

Experience: 8-11 Years

Education qualification:

B.Tech / M.Tech / MCA/MBA

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

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

Degrees/Field of Study preferred

Certifications (if blank, certifications not specified)

Required Skills

Snowflake (Platform)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility 30 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

📌 IN_Manager_ Snowflake Data Engineer_Data & Analytics_Advisory_Bangalore (Bengaluru)
🏢 PwC India
📍 Bengaluru