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EY’s GDS Tax Technology team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills.

Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

EY's GDS Tax Technology team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax.

GDS Tax Technology works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests.

EY is currently seeking a Data Engineer - Senior to join our Tax Technology practice.

Key Responsibilities

Strong database programming/ backend development experience using SQL Server/Azure SQL, writing complex queries, stored procedures, views, triggers, cursors, UDFs.
Strong knowledge in data modeling and Datawarehouse concepts.
Experience on Azure Data Factory or any other ETL
Develops, maintains, and optimizes all data layer components for new and existing systems, including databases, stored procedures, ETL packages, and SQL queries
Experience on Azure data platform offerings.
Interacts with application developers from various core systems to address changes in those systems and their impact on existing SQL databases
Defines data solutions for business problems by working directly with project managers, seniors and clients
Ability to effectively communicate with other senior leaders of IT on program strategies and plans and negotiate quality solutions

Qualification & Experience Required

1-2 Year(s) with Microsoft Fabric
Python, PySpark, or Spark SQL experience

CI/CD (Git integration + deployment pipelines)
Lakehouse and Warehouse experience

Strong verbal and written communications skills
Ability to work as an individual contributor.

4+ years of experience on SQL DB/Server including building SQL Database, database designing and data modelling, SQL server experience with SSIS, Any ETL experience.

Experience on Azure Data Factory / SSIS and any other ETL tools.
Experience with Microsoft visual analytics tools (Power BI) and Analysis Services.

Nice to have:

Multi-tenant architecture design & concurrent processing experience
Experience with Agentic Coding & building new agents

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