Associate

About the Role

Join PwC's Acceleration Center India to shape the future of business for a diverse client portfolio. Work within global teams across Advisory, Assurance, Tax, and Business Services, solving client challenges through collaboration. This is an opportunity to do inspiring work that makes a difference.

As a Snowflake + Cortex Associate, you will support data engineering work, designing and building data pipelines, integration flows, and transformation solutions that turn raw data into insights within the Data and Analytics Engineering practice. You will contribute to project tasks, apply a learning mindset, ask questions, adapt to changing client needs, and deliver dependable work to support team goals while building technical skills. 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.

Key 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.

Requirements & Tech Stack

• Snowflake
• Cortex
• SQL
• Python
• AWS
• Azure Data Factory
• Databricks

Qualifications

• At least a Bachelor's degree.
• At least 2 years of experience.
• Oral and written proficiency in English.

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.
• Demonstrated coursework or project work in data engineering or analytics.
• Utilization of Snowflake, Cortex, or cloud data platforms in academic settings.
• Application of SQL, Python, or scripting for data transformation tasks.
• Ability to gather and interpret data from multiple sources for pattern analysis.
• Quick adaptation in fast-paced team environments and changing priorities.
• Clear communication of ideas while seeking feedback and learning continuously.