Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn more .

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.

ASnowflake DeveloperorData Engineeris responsible fordesigning, building, andoptimizingcloud-based data warehousing and analytics solutions using the Snowflake platform. Professionals in this role focus on data ingestion, ELT (Extract, Load, Transform) pipeline creation, query performance tuning, and ensuring strict data security and governance.

Responsibilities

- Data Modeling & Architecture:Design and implement robust data models and schemas within Snowflake.

- Pipeline Development:Build andmaintainscalable data pipelines using Snowflake SQL,Snowpipe, Streams, Tasks, Python, or Snowpark.

- Performance Optimization:Monitorand tune data warehouses, storage, and SQL queries for cost-efficiency and maximum speed.

- Data Security & Governance:Implement Role-Based Access Control (RBAC), data masking, row-level security, andmanagesecure data sharing.

- Integration:Work with cloud environments like AWS, Azure, or GCP and integrate Snowflake with third-party ETL/ELT tools (e.g.,dbt, Airflow,Matillion).

Required Skills & Qualifications

- Database & SQL Expertise:Deep understanding of relational databases, advanced SQL, and data warehousing principles.





- Programming Languages:Proficiencyin Python or JavaScript is typicallyrequiredfor advanced data transformations and scripting.

- Cloud Experience:Hands-on experience with major cloud providers (AWS, Microsoft Azure, or Google Cloud Platform).

- Experience Level:Depending on the specific role, positions typically require between5 to 8years of dedicated data engineering or Snowflake-specific experience

- Mandatory skill sets:

- Strong hands-on experience in Snowflake (mandatory)

- Cloud: Azure (mandatory)

- Programming: Python & SQL (mandatory)

- Preferred skill sets:

- Strong hands-on experience in Snowflake (mandatory)

- Cloud: Azure (mandatory)

- Programming: Python & SQL (mandatory)

Years of experience required:

5 to 8 years

Education qualification:

B.E, B.Tech, MCA, M.E, M.Tech

Education

Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications

Required Skills

Snowflake (Platform)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline + 38 more

Desired Languages

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date

August 22, 2026

📌 IN_Senior Associate_Snowflake_Data Analytics_Advisory_Bangalore (Bengaluru)
🏢 PwC
📍 Bengaluru