GCP Data Engineer - Senior Associate

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 GCP Data Engineer - Senior Associate you will design and support data pipelines, cloud data platforms, and ETL solutions within our Advisory practice. As a Senior Associate you will analyze complex data problems, manage assigned workstreams, and contribute to client-facing delivery while building meaningful client relationships and mentoring junior team members. In this role at PwC, you will help modernize data environments using Google Cloud Platform, Databricks, Snowflake, and hybrid cloud tools, while developing your technical skills and broader business understanding across cloud engineering and data modernization.
Responsibilities
Building GCP data pipelines and cloud-native data solutions to support modernization initiatives
Designing and implementing data integration, transformation, and validation workflows across source systems
Developing scalable data lake and data warehouse structures for analytics and reporting use cases
Optimizing pipeline performance, query execution, and storage design in cloud environments
Applying Apache Airflow, Databricks, and Snowflake to automate orchestration and data delivery
Collaborating with client stakeholders to translate business needs into technical data engineering deliverables
Reviewing code, data models, and deployment outputs to maintain technical consistency across workstreams
Supporting data architecture, governance, and security practices within modern cloud platforms
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
Demonstrating data engineering experience across cloud-native platforms and pipelines
Utilizing Google Cloud Platform services for analytics and modern data architecture
Applying Apache Airflow, Databricks, or Snowflake in transformation work
Interpreting complex data requirements and translating them into scalable solutions
Mentoring junior team members while managing assigned client workstreams

Work arrangement
No