Data Engineer II, GMAC FP&A

Amazon is hiring a Data Engineer II, GMAC FP&A in Seattle, United States. It pays $145k-$197k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
Pay on this posting starts in line with the typical data engineer posting on Level.
Level classes it as a mid-level role.
Amazon has 22,000+ other open roles on Level.
Posted in the last few days.

AI in this role

Amazon's Global Media and Entertainment (GME) organization encompasses Prime Video, Amazon Music, Twitch, Audible, and Amazon Games businesses. The GME Finance team is establishing a Fintech team to build and operate systems that provide both financial reporting and operational analytic capabilities to GME Finance teams. We are seeking an experienced Data Engineer to drive the team’s data strategy and vision. The data engineer will be responsible for design and build of the data infrastructure for automated and scalable platforms to support the reporting and forecasting requirements of GME finance teams. The data engineer will also lead and execute projects that build scalable data and visualization frameworks from multiple operational and financial datasets. The GME Finance team currently has a multi-year roadmap that aim to deliver automated reporting solutions, accelerate predictive forecasting, and interactive analytic tools for our finance analysts.

This role requires an individual with excellent data modeling, data architecture design, analytic visualization, ML modeling, and software development skills. A successful candidate will have the flexibility to execute on business intelligence projects while considering optimal and efficient data architecture. The candidate must have the ability to quickly build internal contacts and work across multiple finance, technology, product, and business teams to drive the overall strategy. This person will have the ability to Think Big about opportunities and challenges facing the business and the ability to influence the data and BI strategy through effective verbal and written communication, logical reasoning, and the presentation of alternatives.

Key job responsibilities
• Architect and develop end to end scalable data applications and data pipelines
• Design and build data reporting solutions across different visualization platforms (e.g. Quicksight)
• Establish scalable, efficient, automated processes for reporting, dashboards, data analyses and ML model development
• Ability to query, program, and perform analysis on large datasets using SQL languages and Python
• Build data infrastructure and manage other AWS resources including EC2, RDS, Redshift, EMR, etc.
• Collaborate with other teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
• Participate in data strategy and road map exercises, data warehouse design and implementation

Basic qualifications

- 3+ years of data engineering experience
- 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

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)
- Experience in implementing modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks)

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 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 145,300.00 - 196,600.00 USD annually
USA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually

How we rate this

Data Engineer II, GMAC FP&A at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.