drjobs Data Engineer, WW Ops Finance S&A

Data Engineer, WW Ops Finance S&A

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1 Vacancy
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Job Location drjobs

Bellevue - USA

Yearly Salary drjobs

$ 118900 - 205600

Vacancy

1 Vacancy

Job Description

Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting Do you excel in dynamic fast-paced environments and find joy in converting data into actionable insights If you thrive in innovation and can deliver scalable Data Engineering Solutions then the Worldwide Operations Finance Standardization & Automation (SnA) team has an exciting opportunity for you!

We are looking for a top notch Data Engineer to be part of our Financial Planning & Analytics (FP&A) Product organization.

Strong experience in Data Warehouse and Business Intelligence application development
Data Analysis: Understand business processes logical data models and relational database implementations
Expert knowledge in SQL. Optimize complex queries.
Basic understanding of statistical analysis. Experience in testing design and measurement.
Proven track record of working on complex modular projects and assuming a leading role in such projects
Highly motivated self-driven capable of defining own design and test scenarios
Experience with programming/scripting languages such as Scala/Python etc. preferred
Evaluate and implement various big-data technologies and solutions (Redshift DW Glue EMR Spark) to optimize processing of extremely large datasets in an accurate and timely fashion.

Key job responsibilities
- Designing build and maintain complex data solutions for Amazons Operations Finance businesses
- Develop and maintain fully automated ETL pipelines using scripting languages such as Python Spark SQL and AWS services such as S3 Glue Lambda
- Actively participates in the code review process design discussions team planning operational excellence and constructively identifies problems and proposes solutions
- Makes appropriate trade-offs re-use where possible and is judicious about introducing dependencies
- Asks correct questions when data model and requirements are not well defined and comes up with designs which are scalable maintainable and efficient
- Implement and support reporting and analytics infrastructure for internal Finance customers.
- Makes enhancements that improve teams data architecture making it better and easier to maintain - - Owns the data quality of datasets and any new changes/enhancements

About the team
This is a core Data Engineering team that sits within the Financial Planning & Analytics Product organization owning the data infrastructure datasets supporting Worldwide Ops Finance business. The team is responsible for scaling and sustaining data solutions that support Financial Planning & Analytics products across all Amazon businesses.

- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 for more information. If the country/region youre applying in isnt 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 $118900/year in our lowest geographic market up to $205600/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
This position will remain posted until filled. Applicants should apply via our internal or external career site.

Employment Type

Full-Time

Department / Functional Area

Data Engineering

About Company

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