IN_Senior Associate_ Snowflake Senior Data Engineer_GCC_Advisory_Bangalore

AI in this role

Design, develop, and optimize data pipelines and data models using Snowflake, SQL, and AWS for client advisory solutions.

snowflakesqlawspythondbt

data-engineeringdata-modellingetlcloud-platforms

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 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 seeking experienced and passionate Snowflake Data Engineers to join our data engineering team. The ideal candidate will have strong expertise in Snowflake, SQL, Data Modelling, AWS – Glue, Lambda, Step Functions and Python, along with exposure to modern data orchestration and cloud platforms.

Responsibilities:

Design, develop, and optimize data pipelines and data models in Snowflake.

Implement and maintain DBT workflows for data transformation and modeling.

Write efficient and scalable SQL queries for data extraction and reporting.

Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.

Integrate data from various sources using Python.

Orchestrate workflows using Apache Airflow or similar tools

Ensure data quality, integrity, and governance across the pipeline.

Work with CI/CD tools to automate deployment and testing of data workflows.

Optimize performance and cost of Snowflake workloads.

Leverage cloud services from AWS for scalable data solutions.

Primary Skills:

Snowflake

Data Modelling

Python (Scripting, Data Manipulation)

AWS – Glue, Lambda, Step Functions

Secondary Skills:

Airflow (Workflow Orchestration)

CI/CD (Git, Jenkins, Azure DevOps, etc.)

PL/SQL, Teradata (for legacy support)

DBT (Data Build Tool)

Mandatory skill sets:

Snowflake SnowPro Core certification

Preferred skill sets:

Analytical mindset with strong problem-solving ability

Years of experience required:

Experience: 5 – 8 Years

Education Qualification

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

AWS Database Migration Service (DMS), Database Modeling, Data Modeling Software

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, 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 {+ 41 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

July 13, 2026

How we rate this

IN_Senior Associate_ Snowflake Senior Data Engineer_GCC_Advisory_Bangalore at PwC rates 0 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.

Classification

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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data EngineeringData ModellingETLCloud PlatformsSnowflakeSQLAWSPython

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 modelling was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where cloud platforms was part of your work. What did you do?
Walk me through how you've used Snowflake in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, Data Modelling, ETL, Cloud Platforms, and Snowflake. 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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