Data Engineer, GSF
Amazon.com
Over the past 20 years, Amazon has reinvented on behalf of customers and has become the largest internet retailer in the world. Amazon is now reinventing the global supply chain and international e-commerce and is recruiting a senior data engineer to help make this vision a reality. In this role, you will be responsible for the development and improvement of Workforce Planning Analytics platform used for planning, reporting, and forecasting purposes as well as dataset management. You will get the unique opportunity to work closely with a variety of stakeholders, including Business Analysts, Site Leads, and other Program Management teams. The candidate will also be in charge of driving strategic initiatives to improve reporting efficiency, develop new bridging workflow tools and establish new key performance metrics where appropriate.
The ideal candidate will not only raise the bar on Data engineering skills but demonstrates a strong curiosity to understand the business end-to-end and be comfortable working with ambiguity. The candidate will also have an eye for detail, be proficient/advanced in SQL/DWH/Python and invent for solving data and reporting challenges. The role requires good communication skills with other functional teams.
Key job responsibilities
1. Design, implement and support an analytical data infrastructure using AWS technologies
2. Build robust and scalable data integration (ETL) pipelines using SQL, and AWS data storage technologies like Aurora, Red Shift etc.
3. Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc) supporting critical business functions.
3. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
4. Lead architecture design and implementation of next generation BI solution
5. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Bellevue, WA, USA | Nashville, TN, USA
The ideal candidate will not only raise the bar on Data engineering skills but demonstrates a strong curiosity to understand the business end-to-end and be comfortable working with ambiguity. The candidate will also have an eye for detail, be proficient/advanced in SQL/DWH/Python and invent for solving data and reporting challenges. The role requires good communication skills with other functional teams.
Key job responsibilities
1. Design, implement and support an analytical data infrastructure using AWS technologies
2. Build robust and scalable data integration (ETL) pipelines using SQL, and AWS data storage technologies like Aurora, Red Shift etc.
3. Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc) supporting critical business functions.
3. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
4. Lead architecture design and implementation of next generation BI solution
5. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Bellevue, WA, USA | Nashville, TN, USA
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