EY is seeking a seasoned Senior Consultant specializing in Business Consulting Risk, with a focus on GCP Data Engineering using PySpark. This role is based in Pune or Hyderabad. As a global leader in professional services, EY fosters a culture of continuous learning and development, empowering individuals to build fulfilling careers.

The Financial Services sector is undergoing significant transformation, driven by regulatory changes and digital innovation. Our expert team of strategists, technologists, and industry leaders collaborates to solve complex challenges and drive sustainable value for clients.

We are part of EY Consulting, dedicated to transforming businesses through people, technology, and innovation. Our client-centric approach focuses on solving strategic problems and delivering long-term value. Within Risk Consulting, we help organizations navigate and manage risks to achieve their future business objectives. This includes Enterprise Risk, Technology Risk, and Financial Services Risk.

As a Senior Consultant in GCP Data Engineering, you will design, develop, and maintain robust, large-scale data pipelines on Google Cloud Platform. Key responsibilities include building scalable ETL/ELT processes, optimizing data workflows, and ensuring reliable data delivery for analytics and business intelligence initiatives.

Your role will involve leveraging GCP services such as BigQuery, Dataproc, Cloud Storage, Dataflow, Pub/Sub, and Composer. You will perform data ingestion, transformation, cleansing, and validation, while collaborating with cross-functional teams to understand and deliver on data requirements.

Essential duties include implementing performance tuning, monitoring, and troubleshooting of data pipelines. You will also ensure adherence to data quality, governance, security, and compliance standards, and participate in Agile development practices, code reviews, and CI/CD implementation.

We are looking for a Senior Consultant with a minimum of 5 years of dedicated Data Engineering experience. Essential expertise includes strong hands-on proficiency in Python and PySpark, coupled with extensive experience in Google Cloud Platform (GCP) services, particularly BigQuery, Dataproc, Cloud Storage, Dataflow, and Pub/Sub.

Required technical skills encompass strong SQL capabilities for large-scale data processing, a solid understanding of ETL frameworks, data modeling, and data warehousing concepts. Familiarity with version control systems like Git and CI/CD pipelines using Jenkins or GitHub Actions is also necessary.

Beyond technical skills, candidates should possess excellent problem-solving abilities and effective stakeholder communication skills. The ideal individual will thrive in a collaborative environment, demonstrating agility, curiosity, mindfulness, and creativity in delivering insightful solutions to complex challenges.