Data Engineer II - AMZ9082380

Amazon Web Services (AWS) is seeking a Data Engineer II to join their team in Dallas, Texas. This role presents an exciting opportunity to work with large-scale data structures and business intelligence analytics at one of the world's leading cloud computing platforms.

The position involves designing, developing, and operating high-performance data structures that power business intelligence analytics. You'll be working with cutting-edge technologies including ETL/ELT processes, OLAP technologies, and Oracle databases, while implementing best practices in data modeling and SQL development.

As a Data Engineer II, you'll be responsible for providing online reporting and analysis using OBIEE business intelligence tools, working with large, multi-dimensional datasets from multiple sources. You'll gather business requirements and translate them into scalable solutions, while also participating in the complete development lifecycle from design to maintenance.

The role offers competitive compensation ranging from $163,966 to $178,800 per year, plus additional benefits including medical coverage, 401k, and other financial benefits. Amazon is known for its comprehensive benefits package and emphasis on career growth.

Key responsibilities include mentoring junior engineers, evaluating dataset implementations, and driving best practices in source teams. The position requires either a Master's degree with 1 year of experience or a Bachelor's degree with 5 years of experience in relevant fields.

This is an excellent opportunity for a data professional looking to work on challenging problems at scale, with access to AWS's vast resources and cutting-edge technology stack. You'll be part of a team that values innovation, ownership, and delivering results, while working in an environment that promotes learning and career growth.

Join AWS to help shape the future of cloud computing and data engineering, while working with some of the most sophisticated data systems in the industry. The role offers both technical challenges and leadership opportunities, making it ideal for someone looking to advance their career in data engineering.