Data Engineer - Finance Technology, Finance Technology
About the role
Amazon's Finance Technology team is seeking a truly innovative Data Engineer to join the team that is shaping the future of the finance/accounting systems. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time) and is passionate about data and analytics. Amazon has a culture of data-driven decision-making, and demands data that is timely, accurate, and actionable. To meet that need you will work with customers, design and develop data solutions that facilitate and influence day to day decision making.
Responsibilities
- Design, implement, and support a platform providing secured access to large datasets
- Interface with Tax, Finance and Accounting customers, gathering requirements and delivering end-to-end BI solutions
- Model data and metadata to support ad-hoc and pre-built reporting
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Tune application and query performance using profiling tools and SQL
- Analyze and solve problems at their root, stepping back to understand the broader context
- Learn and understand a broad range of Amazon's data resources and know when, how, and which to use
- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS services
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets
- Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
Basic Qualifications
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
Preferred Qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Pay
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Benefits
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave