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Position

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 in India.

Key Responsibilities

• Hands-on experience in expertise in designing, developing, and implementing data solutions, data warehouse/data Lake using Snowflake.

• Strong Experience on Azure Databricks.

• Intermediate level knowledge with Py Spark/ Python.

• Implement data integration solutions using Snowflake, including data ingestion from various sources.

• Design and Develop ETL workflows for Snowflake, Experience using Snowpipe or different ETL Solutions.

• Strong database programming/ backend development experience using SQL.

• Strong knowledge in data modeling and Datawarehouse concepts.

• 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.

• 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

• Strong verbal and written communications skills

• Ability to work as an individual contributor.

• 5+ years of combined experience using Snowflake, Azure Databricks, PySpark, database designing and data modelling

• Experience on Snowpipe or Azure Data Factory or SSIS or any other ETL tools

• Exposure to visual analytics tool (Power BI) would be good to have but not mandatory

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