Amazon.com Services LLC
Financial Services
DataEngineerII
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“Data Engineer II at Amazon.com Services LLC. Skills: Data Engineering, ETL Pipelines, Financial Data, GenAI Automation. Own end-to-end data solutions. Design data pipelines”
What You'll Achieve.
Ensure data is accurate; Ensure data is timely; Ensure data is scalable
Industry & Context.
Solve complex problems; Root cause analysis
What They're Looking For.
Must Have
3+ years data engineering experience, Experience with data modeling, Experience building ETL pipelines, Experience with SQL, Experience with Python, Experience with Java, Experience with Scala, Experience with NodeJS, Experience with Hadoop, Experience with Hive, Experience with Spark, Experience with EMR, Knowledge of software engineering best practices, Bachelor's degree
Nice to Have
Experience with non-relational databases, Experience with AWS Redshift, Experience with AWS S3, Experience with AWS Glue, Experience with AWS EMR, Experience with AWS Kinesis, Experience with AWS FireHose, Experience with AWS Lambda, Experience with AWS IAM roles, Experience with AI/ML, Experience with GenAI, Experience with Analytics, Experience with Databases, Experience with Storage, Master's degree
What You'll Do.
Own end-to-end data solutions
Design data pipelines
Orchestrate data pipelines
Build data quality frameworks
Provide self-service analytics
Solve revenue attribution problems
Optimize system performance
Partner with Financial Analysts
Partner with BI teams
Partner with Accounting
Partner with Ads leadership
Translate requirements
Recommend architecture improvements
Present solutions to stakeholders
Coordinate across teams
Write clear documentation
Maintain data governance
Identify process improvements
Drive metrics enhancements
Optimize manual workflows
Automate manual workflows
Contribute to data engineering standards
Contribute to best practices
Participate in scoping needs
Prioritize data engineering needs
Build orchestration platforms
Build self-service analytics tools
How You'll Work.
Team & Collaboration
Partnering with teams; Coordinate across teams; Working with stakeholders
Communication Scope
Present solutions; Write documentation
Process & Methodology
Scoping needs, Prioritizing needs
Full Job Description
We are hiring a Data Engineer II to help build the next generation of our financial data and analytics platform. In this role, you will own end-to-end data solutions, from pipeline design and orchestration to data quality frameworks, GenAI-enabled automation, and self-service analytics with limited guidance. You will solve complex problems around revenue attribution, financial data modeling, and system performance while partnering with Financial Analysts, BI teams, Accounting, and Ads leadership to translate requirements into well-architected deliverables. You will recommend architecture improvements, present solutions to stakeholders, and coordinate across teams, writing clear documentation, negotiating priorities, and maintaining appropriate data governance to ensure the data reaching leadership is accurate, timely, and scalable. Beyond technical delivery, you will mentor team members on data infrastructure, pipeline architecture, and Ads-specific data models. You will identify and drive process improvements including metrics enhancements, optimization and automation of manual workflows, and contributions to data engineering standards and best practices. You will participate in scoping and prioritizing data engineering needs during critical financial planning process. Innovation is key on this team as we are building AI agents, event-driven orchestration platforms, and self-service analytics tools that are changing how Finance teams interact with data. About the team The Ads Central FP&A Data and Analytics team owns the data infrastructure that powers financial reporting for Amazon's Advertising business across all products and geographies. We build scalable data and technology solutions that provide leadership with clear visibility into the financial metrics that drive business decisions. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at
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