Job Location: Seattle, WA
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
- 5+ years of experience in Data Engineering, BI Engineer, or related field in Architecting and developing end to end scalable data applications and data pipelines.
- 4+ years of hands on experience in building big data solution using EMR/Elastic Search/Redshift or equivalent MPP database.
- 2+ years of coding experience with modern programming or scripting language (Python, Scala, Java).
- 2+ years of experience in advanced SQL and query performance tuning skills.
- Database design and administration experience with one RDBMS, such as MS SQL Server, PostgreSQL, MySQL, etc.
- Participate in data strategy and road map exercises, data warehouse design and implementation.
- Develop strong collaborative relationships with key partners in data engineering, business intelligence, software development, finance, modelling and product teams.
- Demonstrated strength and experience in data modelling, ETL development and data warehousing concepts.
- Hands-on experience in working with any reporting/visualization tools in the Industry.
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes and testing.
- Knowledge of distributed systems as it pertains to data storage & computing.
Job summary
Amazon.com strives to be Earth’s most customer-centric company where people can discover virtually anything they want to buy online. The world’s brightest minds come to Amazon.com to research and develop technology that improves the lives of shoppers, developers, publishers, and sellers around the world. Amazon’s vision is to offer the Earth’s largest selection and lowest prices to our customers.
Our Stores Security teams span over ten countries worldwide, and our focus areas include security intelligence, application security, incident response, security operations, risk and compliance, acquisitions and subsidiaries, and external partner security.
We are looking for Data Engineers with broad technical skills to support our analytics team to deliver on strategic security projects, produce strategic insights, and define/produce end-to-end metrics that enable security and business decisions.
In this role, you will join a a team that delivers insights and analytics to elevate our data and security metrics to tell the the story of how our Stores Security teams are doing. You will help build a data management and reporting infrastructure that enables our leaders to leverage data to look around corners to solve complex business and security challenges across a range of data types and domains. You will help enable the Stores Security team’s data insights strategy and deliverables, understanding customer needs, and work backwards from there.
As a Data Engineer you will:
-Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
-Contribute to the architecture and implementation of next generation data and BI solutions from the ground up.
-Manage AWS resources including Redshift, S3, EC2, Athena, Glue, etc.
-Optimize automated processes for performance and fault tolerance.
-Optimize support for ad-hoc analysis across various data sources
-Collaborate with BI Engineers, Software Engineers, and cross-functionally to deliver high quality data architecture and pipelines.
-Make large and/or complex data more accessible, understandable and usable by applications and teams.
This position may be located in Austin TX, Arlington VA, New York or Seattle, with other locations possible. Relocation available.
What makes this role different than all the others out there? Simple: scope. You get the opportunity to work with every part of our Consumer Security team plus external business stakeholders. You will be working on a large number of complex migration projects and be given a lot of independence. This is a new focus area for Stores Security, so you have the opportunity to put your stamp on it.
· Meets/exceeds Amazon’s leadership principles requirements for this role.
· Meets/exceeds Amazon’s functional/technical depth and complexity for this role.
· 5 to 7 years of experience as a Data Engineer, BI Engineer, or related field in a company with large, complex data sources.
· Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis and Lambda) or equivalent industry tools.
· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
· Experience on working with different SQL/NOSQL databases.
· Knowledge on data lake platform and difference technologies used in data lake to retrieve and process the data.
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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