Data Engineer

Job description

DESCRIPTION

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. On every continent (well, ok, not Antarctica… at least, not yet).
We are looking for a talented data engineer to help build the data infrastructure as a critical component of TAA systems which impacts hundreds of thousands of Amazon's hourly associates and all tech/BI teams which support these businesses across the globe. You will own many large datasets, implement new data pipelines that feed into or from critical data systems at Amazon, and your insights will impact the design of the product for mission-critical use cases every day. You will work with engineers, product managers and business and tech leadership on a variety of projects with impact that spans the length and breadth of Amazon globally.
Major responsibilities
· As a Data Engineer, you will develop new data engineering patterns that leverage new cloud architectures, and will extend or migrate existing data pipelines to the architectures as needed.
· You will also be assisting with integrating the Redshift platform as our primary processing platform for the enterprise to leverage.
· You will build data pipelines to feed models, dashboards and BI tools for real-time reporting and large-scale offline use cases
· You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions 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 at multiple Amazon business units across the globe
· You will work closely with software engineering teams to drive real-time implementations

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
· 8+ 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
· Experience working with AWS big data technologies (EMR, Redshift, S3)
· Demonstrated strength in data modeling, ETL development, and data warehousing
· Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
· Knowledge of data management fundamentals and data storage principles
· A desire to work in a collaborative, intellectually curious environment.