Data Engineer (AWS, Redshift & Spark)

Data Engineer role in EY's Tech Financial Services department, working on large client projects, with opportunities for growth and professional development. Required skills include AWS development, Glue, Spark, and Redshift, as well as proficiency in programming languages such as Python or Scala, and experience with SQL and database management systems.

Requirements

• Bachelor's degree in Systems Information, Computer Science, Data Engineering, or related field
• Advanced/Fluent English - C2
• Proven experience with AWS development, focusing on Glue, Spark, and Redshift
• Proficiency in programming languages such as Python or Scala for data processing
• Strong understanding of data warehousing concepts and best practices
• Experience with SQL and database management systems

Benefits

• Meal voucher
• Lunch voucher
• Transportation voucher
• Health plan
• Dental care
• Corporate university
• Educational benefits