JOB DETAILS

IN-Senior Associate_ Snowflake Senior Data Engineer_Data and Analytics_Advisory_Bangalore

CompanyPwC
LocationBengaluru
Work ModeOn Site
PostedJune 14, 2026
About The Company
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com. PwC: Audit and assurance, consulting and tax services PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
About the Role

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 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 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: 

 

You will work on: 

  • 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 

  • SQL 

  • 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: 

 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: Bachelor of Engineering, Master Degree

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

GCP Dataflow

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, 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 {+ 27 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 14, 2026

Key Skills
SnowflakeSQLData ModellingPythonAWS GlueAWS LambdaAWS Step FunctionsDBTApache AirflowCI/CDData Pipeline DesignData Integration
Categories
Data & AnalyticsTechnologyConsultingEngineeringSoftware
Benefits
Inclusive BenefitsFlexibility ProgrammesMentorship
Job Information
📋Core Responsibilities
Design, develop, and optimize data pipelines and models within Snowflake using DBT and Python. Collaborate with stakeholders to integrate data from various sources and ensure data quality and governance.
📋Job Type
full time
📊Experience Level
5-10
💼Company Size
296944
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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