Data Engineer, Financial Analytics

4 Days Old

Join the Amazon Operations Finance Technology Team as we seek a talented Data Engineer for our Finance Allocation Engine. In this role, you will play a crucial part in developing technical solutions for our multi-billion-dollar worldwide operational cost analytics. As a Data Engineer, you will have the unique opportunity to work with vast datasets in one of the largest and most complex data warehouse environments. Collaborating closely with business teams, you will analyze various cost-saving initiatives and tackle unique business challenges using your creative problem-solving skills to deliver actionable insights. Your responsibilities will include: Designing and implementing an analytical environment utilizing both third-party and in-house reporting tools. Modeling metadata and building insightful reports and dashboards. Writing scalable SQL queries and optimizing performance on queries dealing with billions of data rows. You will have the chance to work with cutting-edge technologies such as Redshift, Hadoop, Hive, and Spark. Basic Qualifications: 1+ years of data engineering experience Proficient in data modeling, warehousing, and developing ETL pipelines Strong experience with SQL Familiarity with additional query languages (e.g., PL/SQL, HiveQL, SparkSQL, etc.) Experience in at least one scripting language (e.g., Python, KornShell) Preferred Qualifications: Experience with big data technologies like Hadoop, Hive, and Spark Familiarity with ETL tools (e.g., Informatica, Datastage, etc.) Amazon is committed to a diverse and inclusive workplace. We encourage applications from all backgrounds and do not discriminate based on veteran status, disability, or any other legally protected status. This role offers competitive compensation, ranging from $91,200/year to $185,000/year based on geographic location, skills, and experience. Additional compensation components may include stock options, sign-on bonuses, and a comprehensive benefits package. If you're looking for an exciting opportunity to grow in your data engineering career with a leading company, we encourage you to apply!
Location:
Seattle, WA, United States
Category:
Computer And Mathematical Occupations

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