Job Description
DESCRIPTION
The Payment Acceptance & Experience (PAE) team is looking for a Data Engineer with a deep understanding of the full life-cycle of data generation and application. The PAE team is responsible for how Amazon’s customers pay on Amazon’s sites and through Amazon’s services around the globe.
About the Role
As a Data Engineer I, you will design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics, reporting and machine learning. You will leverage your expertise in data pipelines and persistence to build systems and tools that lower the cost of performing advanced analysis while also expanding the number and types of analyses that can be performed. You will take the lead in identifying architecture deficiencies, and solving for the same by building advanced software solutions.
Key job responsibilities
• Implement data ingestion routines, both real time and batch using best practices in data modeling
• Develop ETL/ELT processes leveraging AWS technologies and Big data tools.
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
• Analyze source data systems and drive best practices in source teams.
• Participate in the full development life cycle, from design, implementation and testing, to documentation, delivery, support, and maintenance.
• Produce comprehensive, usable dataset documentation and metadata.
• Evaluate and make recommendations around dataset implementations designed and proposed by peer data engineers.
• Evaluate and make recommendations around the use of new or existing software products and tools.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan.
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
BASIC QUALIFICATIONS
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
- Knowledge of AWS Infrastructure
Job Tags
Full time, Temporary work, Seasonal work,