Data Engineer, Accounting

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with SQL
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Master's degree
- Experience 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 inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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. 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.
The Accounting BI team supports the global Accounting organization with process automation/improvements, developing automated reporting solutions/tools, and improving the ability of the accounting organization to process, analyze, access and consume accurate and timely financial data. The team supports the global accounting organization and partners closely with all technical roles across the org and various businesses and industries Amazon operates in.

The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with a strong data modeling background, deep knowledge of cloud infrastructure, optimizing data for business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and build data sets that answer those questions. You should be able to architect highly efficient data and reporting structures, making a tradeoff between scalability, performance and user functionality needs, using expert knowledge in software development technologies

The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with excellent analytical abilities, deep knowledge of business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies.

Key job responsibilities
Key job responsibilities
Working with stakeholders and other engineering teams to identify and scope the right data architecture and technology to be used to facilitate analysis of most common Amazon customer behavioral questions.

Partnering with partner engineering teams to enhance data infrastructure, data availability, and broad access to customer insights made available through BI tools across the organization.

Design, build and implement the right ETL processes using AWS and similar technologies.

Implement anomaly detection systems to have a proactive approach to any potential data quality issues, using industry standard frameworks.

Enable large scale analytics using EMR and other big data technologies

Establishing and implementing technology best practices that should be followed across the organization.

Work on proof of concepts for adoption of new technology and tools

5+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell)