Data Engineer

TTT - Snowflake - Contractor

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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 - Staff to join our Tax Technology practice in India.

 

Key Skillset (Must Have)

• Hands-on experience in expertise in developing, and implementing data solutions, data warehouse using Snowflake
• Implement data integration solutions using Snowflake, including data ingestion from various sources.
• Experience on Snowpipe or Azure Data Factory or any other ETL
• Strong database programming/ backend development experience, writing complex queries, stored procedures, views, triggers, cursors, UDFs.
• 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

 

Secondary Skillset (Good to Have)

• Azure SQL, Azur Datafactory
• Databricks
• Python or Pyspark
• Any NoSQL Database

 

Qualification & Experience Required

• Strong verbal and written communications skills
• Ability to work as an individual contributor.
• 2+ years of combined experience using Azure SQL or any other databases building database applications
• 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

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Experience Level

Mid Level