Join EY's GDS Tax Technology team in India as a Senior Data Engineer and contribute to a better working world. You will leverage your expertise in data solutions, data warehousing, and data analytics to support our clients and engagement teams in navigating complex regulatory landscapes.

This role offers a unique opportunity to develop deep tax technical knowledge alongside exceptional database, data analytics, and programming skills. You'll work collaboratively with firm partners, clients, and tax subject matter experts to implement cutting-edge technology solutions that drive value and efficiency.

Our team collaborates closely with various tax service areas, including Federal Business Tax Services, Partnership Compliance, and Indirect Tax Services, providing solution architecture, application development, and maintenance support globally.

Design, develop, and implement robust data solutions, including data warehouses and data lakes, with a focus on Snowflake.

Leverage your understanding of Snowflake architecture, including compute-storage separation and virtual warehouses, to optimize performance and analyze queries using Query Profile and Cache architecture.

Implement comprehensive data integration solutions using Snowflake, ingesting data from diverse sources, and utilizing technologies like Streams, Tasks, Snowpipe, and Azure Data Factory for automation.

Develop and maintain ETL workflows for Snowflake and create complex SQL queries, stored procedures, views, triggers, cursors, and UDFs using SQL Server/Azure SQL.

Apply strong knowledge of data modeling and data warehousing concepts, including Star, Snowflake, and Data Vault schemas, to build and optimize data layer components for new and existing systems.

Gain exposure to Azure data platform offerings and effectively communicate data solution strategies and plans with senior IT leaders.

Possess a Bachelor's degree or equivalent practical experience, demonstrating a strong academic foundation.

Bring over 5 years of combined experience in Snowflake, Azure SQL/SQL Server, including database building, design, and data modeling.

Showcase experience with data ingestion and automation tools such as Snowpipe, Azure Data Factory, or SSIS.

Exhibit strong verbal and written communication skills, enabling effective collaboration with stakeholders.

Demonstrate the ability to work effectively as an individual contributor, taking ownership of tasks and delivering results.

Familiarity with Python for automation and scripting is advantageous, as is exposure to visual analytics tools like Power BI, though not mandatory.