Data Engineer, WW Ops Finance S&A

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 Amazon's 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 team’s 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.

Basic Qualifications

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

Preferred Qualifications

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 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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.