Scala Developer

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Scala Developer (Senior) – Job Description

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.

The opportunity

We’re looking for a Tax Senior with expertise in Scala Developer (Senior)  to join the TTT team in Tax SL. This is a fantastic opportunity to be part of a pioneer firm whilst being instrumental in the growth of a new service offering.

Your key responsibilities

• Work Experience – 3 to 5 years of hands-on development experience specifically in Scala (Spark).
• Development experience with RDDs, writing code for performing actions, transformations using in-memory processing using Scala.
• Development experience in data frames and data sets and preparing notebooks in Scala for running jobs in spark.
• Experience with optimizing existing code for better performance and efficiency.
• Exposure on the database side (understanding of read / write queries, handling data volume) and basic understanding of NoSQL databases like Cassandra and Astra.