About The Role

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

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 Fabric+Pyspark+SQL - Senior Associate, you will play a pivotal role in driving data engineering initiatives within our Data and Analytics Engineering group. You will leverage your skills to support client engagements, focusing on data modernization and cloud engineering solutions. As a Senior Associate, you will utilize your problem-solving abilities and critical thinking to navigate complex situations, build meaningful client relationships, and mentor junior team members. You will be responsible for analyzing intricate data challenges and developing solutions that align with our firm's methodologies and technology resources.

In this role at PwC Acceleration Center India, you will be part of our Data, Analytics & AI competency network, working within our Cloud Engineering, Data & Analytics global network. You will have the opportunity to deepen your technical skills and grow your personal brand by anticipating client needs and delivering quality solutions. Embracing ambiguity, you will use these moments to ask questions and develop a deeper understanding of the business context. Your contributions will be integral to managing and inspiring others, fostering a culture of continuous improvement and innovation within our practice.

Responsibilities

Developing and managing data pipelines and workflows using Apache Airflow and Directed Acrylic Graphs (DAGs)
Implementing data integration and transformation processes with Azure Data Factory and Databricks Unified Data Analytics Platform
Building and optimizing data architectures and data models to support scalable data solutions
Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for cloud-based data engineering tasks
Conducting data validation and quality checks to maintain data integrity and reliability
Designing and maintaining data warehouses, including Snowflake Data Warehouse and Snowflake Schema
Performing database administration and optimization for systems like MySQL and PostgreSQL
Collaborating with cross-functional teams to enhance data strategy and infrastructure
Applying analytical thinking to solve complex data challenges and improve data-driven decision-making
Leading efforts in data anonymization and database security best practices to protect sensitive information

What You Must Have

At least a Bachelor's degree
At least 4+ 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
Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for data engineering
Developing data architecture and integration strategies for complex projects
Implementing data anonymization and security best practices in cloud environments
Excelling in analytical thinking and problem-solving within data engineering contexts
Navigating ambiguity and embracing change in dynamic client engagements