ADCI
Data Science, Data Engineering, consumerpayments
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at ADCI. Skills: Data engineering, Data integration, Data modeling. Implement data ingestion routines. Design data for analysis”
Industry & Context.
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, Bachelor's degree
Nice to Have
Experience with AWS technologies, Experience with non-relational databases
What You'll Do.
Implement data ingestion routines
Design data for analysis
Implement data for analysis
Operate data for analysis
Gather business requirements
Translate requirements into solutions
Collaborate with engineers
Collaborate with scientists
Help improve reporting processes
Automate reporting processes
Simplify self-service modeling
Simplify production support
How You'll Work.
Team & Collaboration
Diverse teams
Communication Scope
Written communication; Verbal communication
Full Job Description
Amazon Payment Products team creates and manages a global portfolio of products, including co-branded credit cards, installment financing, third party redemptions, and financial services marketplaces. Within this team, we are looking for a Data Engineer (DE) to play a significant role in building large-scale, high-volume, high-performance data integration and delivery services. These data solutions would be primarily used in periodic reporting, and drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our software systems. You will be responsible for designing and implementing solutions using third-party and in-house reporting tools, modeling metadata, building reports and dashboards, and administering the platform software. You are expected to build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. You are required to support and manage growth of these data solutions. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams. Key job responsibilities *Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools. *Design, implement and operate large-scale, high-volume, high-performance data for analysis and data science. *Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. *Collaborate with engineers/scientists to help adopt best practices in data system creation, data integrity, test design, analy
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