Data Engineer – AWS, Redshift, Spark

🕒 April 22

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

💸 Finance

Finance • Consulting • Technology

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• Design, develop, and implement data solutions on AWS using Glue, Spark, and Redshift • Collaborate with data engineers and data scientists to understand data requirements and translate them into scalable data pipelines • Build and manage ETL processes using AWS Glue to extract, transform, and load data from multiple sources • Optimize data processing workflows in Apache Spark to ensure efficient data handling and analysis • Develop and maintain data models and schemas in Amazon Redshift to support reporting and analytics • Monitor and troubleshoot data pipelines to ensure data quality and integrity • Document data processes, architecture, and best practices for knowledge sharing and compliance.

🎯 Requirements

• Bachelor's degree in Information Systems, Computer Science, Data Engineering, or a related field • Advanced/Fluent English - C2 (there will be contact with an international client) • Proven experience developing on AWS with a focus 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 is required.

🏖️ Benefits

• Food allowance • Meal allowance • Transportation allowance • Health insurance • Dental care • Corporate University (training program) • Other educational benefits • Wellhub • Profit sharing (PLR) • And more