PwCIN_Senior Associate_ Snowflake Senior Data Engineer_GCC_Advisory_Bangalore
PwC is hiring an IN_Senior Associate_ Snowflake Senior Data Engineer_GCC_Advisory_Bangalore. Level rates it ; you can apply on PwC.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- PwC mentions visa sponsorship in this posting.
- Tools and skills the posting cites include Snowflake, Python and SQL.
- Level classifies it as a senior role.
- Level lists 3,900+ other open roles at PwC.
AI in this role
Snowflake Senior Data Engineer needed to design, build, and optimize large-scale data pipelines and cloud data solutions at PwC.
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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 qualification:
BTECH, MTECH
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Amazon Web Services (AWS), Data EngineeringOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity {+ 28 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
September 1, 2026How we rate this
IN_Senior Associate_ Snowflake Senior Data Engineer_GCC_Advisory_Bangalore at PwC rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where performance optimization was part of your work. What did you do?
- What's a project where you used Snowflake hands-on?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Data Modeling, Performance Optimization, Snowflake, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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