ADCI HYD
Fintech
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at ADCI HYD. Skills: Data engineering, AWS technologies, Data modeling, ETL. Design platform for secured access. Implement platform for secured access”
What You'll Achieve.
Deliver BI applications; Drive key business decisions
Industry & Context.
Analyze and solve problems at their root; Stepping back to understand broader context; Quantitative analysis; Business judgment
What They're Looking For.
Must Have
1+ years of data engineering experience, Experience with SQL, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with one or more query language, Experience with one or more scripting language
Nice to Have
Experience with big data technologies, Experience with any ETL tool
What You'll Do.
Design platform for secured access
Implement platform for secured access
Support platform for secured access
Interface with tax customers
Interface with finance customers
Interface with accounting customers
Collaborate with Finance Analysts
Recognize best practices in reporting
Help adopt best practices in reporting
Recognize best practices in analysis
Help adopt best practices in analysis
Support ad-hoc reporting
Support pre-built reporting
Own design of metrics
Own development of metrics
Own maintenance of metrics
Own design of reports
Own development of reports
Own maintenance of reports
Own design of analyses
Own development of analyses
Own maintenance of analyses
Own design of dashboards
Own development of dashboards
Own maintenance of dashboards
Tune application performance
Tune query performance
Understand data resources
Design data architecture
Scale data architecture
Improve reporting processes
Improve analysis processes
Automate support for datasets
Simplify support for datasets
Triage courses of action
Make use of quantitative analysis
Make use of business judgment
How You'll Work.
Team & Collaboration
Work with stakeholders; Work with Finance Analysts; Work with technical professionals
Full Job Description
External job description: Does the prospect of dealing with massive volumes of data excite you? Do you want to lead scalable data engineering solutions using AWS technologies? Do you want to create the next-generation tools for intuitive data access? Amazon's Finance Tech team needs a Data Engineer to shape the future of the Amazon finance data platform by working with stakeholders in North America, Asia and Europe. The team is committed to building the next generation big data platform that will be one of the world's largest finance data warehouses by volume to support Amazon's rapidly growing and dynamic businesses, and use it to deliver the BI applications which will have an immediate influence on day-to-day decision making. Members of the team will be challenged to innovate using the latest big data techniques. We are looking for a passionate data engineer to develop a robust, scalable data model and optimize the consumption of data sources required to ensure accurate and timely reporting for the Amazon businesses. You will share in the ownership of the technical vision and direction for advanced reporting and insight products. You will work with top-notch technical professionals developing complex systems at scale and with a focus on sustained operational excellence. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you love to implement solutions to hard problems while working hard, having fun, and making history, this may be the opportunity for you. Key job responsibilities Design, implement, and support a platform providing secured access to large datasets. Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions. Collaborate with Finance Analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Model data and metadata to support ad-hoc and pre-built rep
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