Amazon Payments Finance BI
Business Intelligence, Data Engineering, international stores
DataEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“Data Engineer at Amazon Payments Finance BI. Skills: Data engineering, ETL, Data modeling, AWS. Implement analytical data infrastructure. Support analytical data infrastructure”
Industry & Context.
Root cause analysis
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 Hadoop, Experience with Hive, Experience with Spark, Experience with EMR, Experience with ETL tool, Experience with Informatica, Experience with ODI, Experience with SSIS, Experience with BODI, Experience with Datastage
What You'll Do.
Implement analytical data infrastructure
Support analytical data infrastructure
Interface with technology teams
Explore AWS technologies
Learn AWS technologies
Provide new capabilities
Collaborate with Business Intelligence Engineers
Collaborate with Data Scientists
Improve reporting processes
Improve analysis processes
Maintain internal reporting platforms
Maintain internal reporting tools
Troubleshoot reporting platforms
Develop report specifications
Work with Engineering partners
Shape BI infrastructure development
Implement BI infrastructure development
Contribute to BI tools development
Contribute to BI skills development
Contribute to BI culture development
Contribute to BI impact development
Write advanced SQL queries
Drive development process
How You'll Work.
Team & Collaboration
Interact with internal users; Work with Engineering partners; Collaborate with BIEs; Collaborate with Data Scientists
Full Job Description
Amazon Payments finance organization is seeking a highly quantitative, experienced Data Engineer to develop a robust, scalable data model and optimize the consumption of data sources required to ensure accurate and timely reporting. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses. Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. The position is based in India but will interact with global leaders and teams in Europe, Japan, US, and other regions. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Key job responsibilities Key job responsibilities - Implement and support an analytical data infrastructure using CDK based deployments - Manage AWS resources including EC2, EMR, S3, Glue, Redshift, etc. - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency - Collaborate with Business Intelligence Engineers (BIEs) and Data Scientist to recognize and help adopt best practices in reporting and analysis - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers - Maintain internal reporting platforms/tools including troubl
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