Amazon.com Services LLC
Financial Services
DataEngineerI
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer I at Amazon.com Services LLC. Skills: Data engineering, ETL pipelines, Data modeling, AWS technologies. Design scalable data applications. Develop scalable data applications”
What You'll Achieve.
Transform financial data insights; Drive strategic decision-making; Centralize reporting capabilities; Enhance reporting capabilities
Industry & Context.
Solve complex analytical challenges
What They're Looking For.
Must Have
1+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience with Python
Nice to Have
Experience with big data technologies, Experience with ETL tool
What You'll Do.
Design scalable data applications
Develop scalable data applications
Create reporting solutions
Establish automated processes
Establish efficient processes
Build robust data infrastructure
Collaborate across teams
Extract diverse datasets
Transform diverse datasets
Load diverse datasets
Explore data transformation techniques
Develop automated reporting solutions
Develop intelligent reporting solutions
Collaborate with cross-functional teams
Solve complex analytical challenges
Research emerging technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Global teams
Full Job 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 languag
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