ADCI
Data Science, Data Engineering, selling partner services
DataEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II at ADCI. Skills: Data engineering, ETL/ELT, Data modeling, AWS. Design automated ETL/ELT pipelines. Develop automated ETL/ELT pipelines”
Industry & Context.
Solve technical challenges
What They're Looking For.
Must Have
3+ years of data engineering experience, 4+ years of SQL experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
Nice to Have
Experience with AWS technologies, Experience with non-relational databases / data stores
What You'll Do.
Design automated ETL/ELT pipelines
Develop automated ETL/ELT pipelines
Maintain automated ETL/ELT pipelines
Monitor ETL/ELT pipelines
Optimize data warehouse architectures
Optimize data lake architectures
Implement reporting infrastructure
Support reporting infrastructure
Implement analytics infrastructure
Support analytics infrastructure
Develop optimized data models
Develop data transformations
Develop enterprise-scale data security solutions
Maintain data warehouse metadata
Maintain data lake metadata
Maintain data catalog
Maintain user documentation
Collaborate to gather requirements
Collaborate to document requirements
Collaborate to implement requirements
Stay current with emerging technologies
Evaluate emerging technologies
Incorporate emerging technologies
How You'll Work.
Team & Collaboration
Internal business customers; Technical teams
Full Job Description
Are you a data engineer eager to make a meaningful impact while developing your technical skills? Join the Seller Fees Tech organization at Amazon and contribute to critical systems that enable millions of entrepreneurs worldwide to build successful businesses on our platform. As a Data Engineer, you'll architect and implement the data pipelines, analytics frameworks, and reporting systems that power critical operations across Amazon's global marketplaces. Your work will enable data-driven decision making for fee structures, incentive programs, and adjustments. You will build scalable data solutions that process billions of transactions while maintaining high data quality and governance standards. In this role, you'll leverage your expertise to transform complex financial data into actionable insights that drive marketplace expansion strategies. You'll have the opportunity to pioneer GenAI-powered data solutions that improve analytics efficiency and uncover hidden patterns in the data. Working at the intersection of big data technologies, financial systems, and marketplace economics, you'll solve technical challenges that require both deep data engineering expertise and strong business acumen. The Seller Fees Tech organization supports over 2MM+ active sellers by ensuring accurate, transparent fee calculations. Your data solutions will provide the analytical foundation for financial decisions that affect seller profitability and marketplace growth worldwide. Key job responsibilities 1. Design, develop, and maintain automated ETL/ELT pipelines with monitoring using Python, Spark, SQL, and AWS services such as Redshift, S3, Glue, Lambda 2. Optimize data warehouse and data lake architectures using best practices for DDL, physical and logical table design, data partitioning, compression, and parallelization 3. Implement and support reporting and analytics infrastructure for internal business customers 4. Develop optimized data models and transformations to ensure high-q
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