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 integral 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
- 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

- Experience with Agentic Coding & building new agents

Buenos Aires, Buenos Aires,



Argentina Full time R Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.

Job Description

GBS Chevron Global Business Services (GBS), located in Buenos Aires (Puerto Madero), Argentina, is accepting applications for the position of Data Engineer. Successful candidates will join the IT Organization, which is part of a multifunction service and technical center with a workforce of more than 1800 employees that deliver business services and solutions to the corporation across the globe.

Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.

Responsibilities

- Understand business use of data and stakeholder requirements to support work processes and strategic business objectives
- Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing.
- Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns
- Responsible for normalizing and ingesting data from multiple sources.
- Enable data scientists, making data available for advanced analytics models, and contributing to models.
- Work with ML Engineer to scale and d

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