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COMPLETE Senior Data Engineer, Core Revenue platform - Seattle

10 days ago


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Job Opportunity Details

Type

Full Time

Salary

Not Telling

Work from home

No

Weekly Working Hours

Not Telling

Positions

Not Telling

Working Location

Seattle, Seattle, WA, United States   [ View map ]

Job 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 fashion using AWS technologies? Do you want to create the next-generation tools for intuitive data access? If so, AWS Finance Technology (AWS Fintech) is for you!

AWS Fintech is seeking a Senior Data Engineer to join the team that is shaping the future of the finance data platform. The team is committed to invest and build the next generation data mesh platform that will be one of the world's largest finance data lake to support AWS's rapidly growing and dynamic businesses, and use it to power other financial products, enable BI applications data insights that immediately influence day-to-day decision making. Amazon has culture of data-driven decision-making, and demands data that is timely, accurate, and actionable. Our platform serves AWS finance and accounting functions across the globe.

As a Senior Data Engineer, you should be an expert with data lake fundamentals around storage, compute, etc., familiar with multiple data processing stacks like Spark, Presto/Trino, and core data concepts (e.g. Data Modeling and Reporting). You should have deep understanding of the architecture for enterprise level data lake/mesh solutions using NAWS stack or other cloud stacks. You should be an expert in the design, creation, management, and business use of large data-sets. The candidate is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. 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. 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, above all, is a passionate about data and analytics.

Responsibilities:
- Design, implement, and support a platform providing secured access to large datasets.
- Interface with multiple finance and accounting customers, gathering requirements and delivering complete data solutions.
- Architect and develop end to end scalable data infrastructure and data pipelines
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Develop ETL pipeline that links various datasets that could serve the analysis objectives in the most efficient way
- Analyze and solve problems at their root, stepping back to understand the broader context.
- Learn and understand a broad range of Amazon’s and AWS's data resources and know when, how, and which to use and which not 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.


About the team
Core Revenue Platform team is the Authoritative Source of truth for AWS Management GAAP financials. The datasets generated by this team powers other AWS Finance applications and BI systems. The team's mission statement is to enables the growth of earth's largest cloud provider by building world-class finance technology solutions for effective decision making.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications:

- 6+ years of data engineering experience
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Experience with SQL

Preferred Qualifications:

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy

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 $123,700/year in our lowest geographic market up to $240,500/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. Applicants should apply via our internal or external career site.


More Information

Application Details

  • Organization Details
    Amazon.com Services LLC
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