DescriptionWant to be part of an exciting journey of building the Next Generation Financial Systems Architecture to enable Amazon businesses across Retail, Digital, AWS, Physical stores, Corporate businesses, Amazon subsidiaries and many more?Want to shift your experiences from working at the peripheries of the systems to actually start owning and designing their cores?The Finance Automation team is looking for a Data Engineer to build our next generation of data engineering services in the Amazon finance space. The ideal candidate will be passionate about building large, scalable, and fast distributed systems on the AWS tech stack. The candidate will be part of a team with a goal to innovate and impact the entire finance business space within Amazon. We are one of the fastest growing Data Engineering teams across Amazon with technology orientation.We are looking for a candidate with background in the AWS technology stack (S3, Glue, IAM, Redshift) and data warehousing experience with interest in data mining and ability to identify emerging patterns and trends from large amounts of data. The candidate is expected to have strong experience with all standard data warehousing technical components (e.g. ETL, Reporting, and Data Modelling), infrastructure (hardware and software) and its integration. The candidate has experience in dimensional modelling, excellent problem-solving ability, capability in dealing with huge volumes of data, and a short learning curve. Written and verbal communication skills are required as the candidate will work very closely with different teams and senior leadership across Amazon.Along with complex problems to solve, we provide a world class work environment side by side with talented team members in the data engineering space and the opportunity to contribute and create history while having fun.Key job responsibilitiesDesign, build and own components of a high volume data warehouse.Build efficient data models using industry best practices and metadata for ad hoc and pre-built reporting.Interface with business customers, gathering requirements and delivering complete data and reporting solutions owning the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.Continually improve ongoing reporting and analysis processes, automating and simplifying self-service support capabilities for our customers.Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources.Own the functional and non-functional scaling of software systems in your area.Provide input and recommendations on technical issues to other engineers, business stake holders, and data analysts.Collaborate with data scientists to continue to build and enhance new or existing ML programs.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABasic Qualifications
Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
Preferred Qualifications
Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
