Snowflake + Cortex - Associate

PwC Acceleration Center India; Bengaluru; On-site; INR 600,000 - 1,100,000; Full time

Job summary

PwC Acceleration Center India is hiring for a Snowflake + Cortex Associate to design and implement data pipelines across cloud platforms within our Data and Analytics Engineering practice.

You will work on data infrastructure, collaborate with cross-functional teams, and grow your technical skills in a fast-paced environment while delivering reliable, scalable data solutions for diverse clients.

Qualifications

• Bachelor’s degree or higher in a relevant field.
• 2+ years of experience in data engineering or analytics.
• Proficient in English (spoken and written).

Responsibilities

• Designing and developing data pipelines that move, transform, and validate client data across cloud platforms
• Supporting Snowflake and Cortex implementation activities by configuring datasets, schemas, and processing logic
• Writing and tuning SQL queries to improve data retrieval, performance, and troubleshooting outcomes
• Assisting with data integration, data modeling, and warehouse development for analytics and reporting use cases
• Working across varied client environments to gather requirements and translate them into technical data solutions
• Applying Python and cloud services such as AWS, Azure Data Factory, and Databricks to automate engineering tasks
• Monitoring data quality checks and resolving pipeline issues that affect completeness, consistency, and usability
• Documenting technical processes, data flows, and solution components to support delivery and maintenance

Skills

SQL

Python

Data pipelines design

Cloud data platforms

Data modeling

Education

Bachelor's degree

Tools

Snowflake

Cortex

AWS

Azure Data Factory

Databricks

SQL

Job description

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands‑on learning, cutting‑edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Snowflake + Cortex Associate you will support data engineering work that designs and builds data pipelines, integration flows, and transformation solutions that turn raw data into insights for clients within our Data and Analytics Engineering practice. As an Associate you will contribute to project tasks, apply a learning mindset, ask questions, adapt to changing client needs, and deliver dependable work that supports team goals while building your technical skills and personal brand. In this role at PwC, you will work on data infrastructure and systems, collaborate with varied teams, and develop your ability to interpret information, communicate clearly, and grow through hands‑on experience in a fast‑paced environment.

Responsibilities

• Designing and developing data pipelines that move, transform, and validate client data across cloud platforms


• Supporting Snowflake and Cortex implementation activities by configuring datasets, schemas, and processing logic


• Writing and tuning SQL queries to improve data retrieval, performance, and troubleshooting outcomes


• Assisting with data integration, data modeling, and warehouse development for analytics and reporting use cases


• Working across varied client environments to gather requirements and translate them into technical data solutions


• Applying Python and cloud services such as AWS, Azure Data Factory, and Databricks to automate engineering tasks


• Monitoring data quality checks and resolving pipeline issues that affect completeness, consistency, and usability


• Documenting technical processes, data flows, and solution components to support delivery and maintenance

What You Must Have

• At least a Bachelor's degree


• At least 2 years of experience


• Oral and written proficiency in English required

What Sets You Apart

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics


• Demonstrating coursework or project work in data engineering or analytics


• Utilizing Snowflake, Cortex, or cloud data platforms in academic settings


• Applying SQL, Python, or scripting for data transformation tasks


• Gathering and interpreting data from multiple sources for pattern analysis


• Adapting quickly in fast‑paced team environments and changing priorities


• Communicating ideas clearly while seeking feedback and learning continuously