Data Engineer - AWS FinTech, AWS FinTech

DescriptionJob summaryAre 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 fashion using AWS technologies? If so, Amazon Finance Technology (FinTech) is for you!FinTech is seeking a Data Engineer to join the team that is shaping the future of the finance data platform. The team is committed to building the next generation big data platform that will be one of the world's largest finance data warehouses to support Amazon's rapidly growing and dynamic businesses. Our platform serves Amazon's finance, tax, and accounting functions across the globe.As a Data Engineer, you should be an expert with data warehousing technical components (e.g., Data Modeling, ETL, and Reporting), infrastructure (e.g., hardware and software), and their integration. You should have a deep understanding of the architecture for enterprise-level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You should be an expert in the design, creation, management, and business use of large data sets. Excellent business and communication skills are required to work with business owners to develop and define key business questions and to build data sets that answer those questions. The candidate is expected to build efficient, flexible, extensible, and scalable ETL and reporting solutions.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, and is passionate about data and analytics. In this role, you will be part of a team of engineers to create the world's largest financial data warehouses and BI tools for Amazon's expanding global footprint.Key job responsibilitiesDesign, implement, and support a platform providing secured access to large datasets.Interface with tax, finance, and accounting customers, gathering requirements and delivering complete 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.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 Qualifications3+ years of data engineering experienceExperience with data modeling, warehousing, and building ETL pipelinesExperience with SQLPreferred QualificationsExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissionsExperience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2740491

#J-18808-Ljbffr