The Accounting BI team at Amazon is seeking a Data Engineer to support their global Accounting organization with process automation, reporting solutions, and data analytics. This role is crucial in improving how the accounting organization processes, analyzes, and consumes financial data. The ideal candidate will work in a fast-paced environment, handling complex business contexts and big data challenges.
The position requires strong expertise in data modeling, cloud infrastructure, and business intelligence solutions. You'll be responsible for developing ETL processes, implementing anomaly detection systems, and enabling large-scale analytics using technologies like EMR. The role involves close collaboration with various technical teams and business partners across Amazon's diverse operations.
Key responsibilities include architecting efficient data structures, making strategic decisions about scalability and performance, and implementing best practices in software development. You'll work directly with stakeholders to define and answer key business questions through data-driven solutions.
The compensation package is competitive, ranging from $91,200 to $185,000 per year based on location and experience, plus additional benefits including medical coverage and 401k. This is an excellent opportunity for a data professional to make a significant impact in a global organization while working with cutting-edge technologies and complex data challenges.
The ideal candidate should have experience with SQL, Python, AWS, and data warehousing concepts. Knowledge of big data technologies like Hadoop, Hive, and Spark is preferred. This role offers the chance to work on meaningful projects that directly impact Amazon's financial operations while growing your career in a dynamic, innovative environment.