The Workforce Staffing Research & Business Intelligence team is your opportunity to make an impact across multiple layers of the company and the hourly workforce as a whole. This team will lead and influence programs that will enable Amazon to scale more efficiently, while also providing a unique voice for the hourly labor population within the United States and Canada. Amazon's mission is to be the most customer centric company in the world. The Workforce Staffing (WFS) Organization is on the front line of that mission by hiring hundreds of thousands of hourly associates across multiple types of roles and businesses. To drive the continued scale of Amazon's labor needs within a constrained employment environment, and to improve the candidate/employee experience within Amazon's operation, Amazon is investing in its Workforce Staffing Research & Business Intelligence programs.
What is the role?
As a Data Engineer in WFS BI team, you should be an expert in the architecture of DW solutions for the Enterprise using multiple platforms. You should excel in the design, creation, management, and business use of large and complex datasets. You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. You should have the ability to develop and tune SQL to provide optimized solutions to the business.
Key Responsibilities Include:
* Building and migrating the complex ETL pipelines into Redshift cluster * Optimizing the performance of business-critical queries and dealing with ETL job-related issues * Gather and understand data requirements, work in the team to achieve high quality data ingestion and build systems that can process the data, transform the data * Designing, implementing and supporting a platform that can provide ad-hoc access to large data-sets * Provide technical and thought leadership of Data Engineering and being a mentor to the team members * Modeling data and metadata to support ad-hoc and pre-built reporting * Earn the trust of your customers by continuing to constantly obsess over their needs and helping them solve their problems by leveraging technology * Manage business critical initiatives to enforce standard work and reduce waste * Architect and Implement new AWS based Database/Storage and integration services and technologies as per the need of the business and the team. * Capture and Share best practice knowledge amongst other DE team members and act as a technical liaison between the team and support
Amazon is a company operating a marketplace for consumers, sellers, and content creators.