TTT - Databricks With Python And Pyspark - Staff

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

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.

EYs GDS Tax Technology team members work side-by-side with the firms 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 Responsibilities

• Must have experience Azure Databricks.
• Must have strong knowledge of Python and PySpark programing.
• Must have strong Azure SQL Database and Azure SQL 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
• Ability to effectively communicate with other team members and stakeholders
  
  

Qualification & Experience Required

• Candidates should have between 1.5 and 3 years of experience in Azure Data Platform (Azure Databricks) with strong knowledge of Python and PySpark is required
• Strong verbal and written communications skills
• Ability to work as an individual contributor.
• Experience on Azure Data Factory or SSIS or any other ETL tools.
  
  

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