Website Amazon
Amazon.com, Inc., is an American multinational technology company based in Seattle that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence
Are you interested in innovating to help deliver Time Solutions / Time and Attendance (TAA) systems which deliver a world-class level of service to support hundreds of thousands of your fellow Amazonians working in our Fulfillment Centers, Logistics and Delivery, Customer Service and Data Centers; employees in our growing number of Amazon Books and Go Stores and more.
We are looking for a talented Data engineer to help support the TAA systems which impacts hundreds of thousands of Amazon’s hourly associates and all teams which support these businesses across the globe. You will work on operational excellence projects, tracking down the true root cause of TAA related issues and take action to correct the errors. You will work with engineers, product managers, business teams and tech leadership on a variety of projects with impact that spans the length and breadth of Amazon globally.
BASIC QUALIFICATIONS
· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Bachelor’s degree in computer science, engineering, mathematics, or a related technical discipline
· 4+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
· Knowledge of data management fundamentals and data storage principles
· A desire to work in a collaborative, intellectually curious environment
PREFERRED QUALIFICATIONS
. 5+ years of experience as a Data Engineer, BI Engineer, Business/Financial Analyst or Systems Analyst in a company with large, complex data sources.
· Knowledge of Time and Attendance systems
· Knowledge of distributed systems as it pertains to data storage and computing
· Experience using business intelligence reporting tools
· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
· Comfort in communicating with users, other technical teams, and senior management to collect requirements and data engineering strategy
· Experience providing technical leadership and mentoring other engineers for best practices on data engineering
· Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations