Data Engineer - Finance Technology, Finance Reporting & Analytical Products (FRAP)
Amazon
DESCRIPTION
Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process billions of records a day in a scalable manner using AWS technologies? Do you want to build the next-generation system for intuitive data access?
Amazon's Finance Technology team is seeking 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 a passionate about data and analytics. Amazon has 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.
As a Data Engineer, we expect you to have expertise with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You are expected to have experience with design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
Key job 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