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 ecommerce 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 endtoend 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 Design implement and support an analytical data infrastructure using AWS technologies Build robust and scalable data integration (ETL) pipelines using SQL and AWS data storage technologies like Aurora Red Shift etc. Design and develop Analytics applications using modern scripting languages (Python R PHP etc) supporting critical business functions. Gather business and functional requirements and translate these requirements into robust scalable operable solutions with a flexible and adaptable data architecture. Lead architecture design and implementation of next generation BI solution Continually improve ongoing reporting and analysis processes automating or simplifying selfservice modeling and production support for customers.
3 years of data engineering experience Experience with data modeling warehousing and building ETL pipelines
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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