Data Engineer I, GME Fintech

2 days ago

Seattle, Washington, United States Amazon Full time $91,200 - $185,000 per year

Description
Revolutionize Financial Insights with ground-breaking Data Solutions

We're seeking an innovative Data Engineer to transform how we understand and leverage financial data across our Media and Entertainment ecosystem. You'll be the architect of sophisticated data infrastructure that turns complex financial information into actionable insights, driving strategic decision-making for our global teams.

Key job responsibilities

  • Design and develop scalable data applications and intelligent pipelines
  • Create comprehensive reporting solutions across visualization platforms
  • Establish automated, efficient processes for advanced data analysis
  • Build robust data infrastructure using ground-breaking AWS technologies
  • Collaborate across teams to extract, transform, and load diverse datasets

A day in the life

Imagine a Day Where You're Not Just Managing Data, But Crafting Intelligent Systems That Tell Compelling Stories. You'll Dive Into Intricate Data Landscapes, Designing Pipelines That Seamlessly Connect Financial Datasets, Optimize Performance, And Unlock Hidden Patterns. Your Work Will Involve

  • Exploring innovative data transformation techniques
  • Developing intelligent, automated reporting solutions
  • Collaborating with cross-functional teams to solve complex analytical challenges
  • Researching emerging technologies that could revolutionize our data strategy

About The Team
Our Global Media and Entertainment Fintech team is a dynamic group of problem-solvers dedicated to creating advanced financial planning and reporting systems. We're not just building infrastructure; we're enabling our organization to make smarter, faster decisions by centralizing and enhancing our reporting capabilities.

Basic Qualifications

  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • 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)

Preferred Qualifications

  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  • Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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 $91,200/year in our lowest geographic market up to $185,000/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.

Company
- Services LLC

Job ID: A3105334

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