Data Engineer, Alexa Enterprise Data
24 hours ago
Amazon is a place where data drives most of our decision-making. The Alexa Enterprise team is looking for a dynamic data engineer who can be innovative, a strong problem solver, and can lead the implementation of the analytical data infrastructure that will guide decision making. As a Data Engineer, you think like an entrepreneur, constantly innovating and driving positive change, but more importantly, you consistently deliver mind-boggling results. You're a leader, who uses both quantitative and qualitative methods to get things done. And on top of it all, you're someone who wonders "What if?" and then seeks out the solution. This position offers exceptional opportunities to grow your technical and non-technical skills. You have the opportunity to really make a difference to our business by inventing, enhancing, and building world-class systems, delivering results, working on exciting and challenging projects.
As a Data Engineer, you are responsible for analyzing large amounts of business data, solving real-world problems, and developing metrics and business cases that will enable us to continually delight our customers worldwide. This is done by leveraging data from various platforms such as Jira, Portal, and Salesforce. You will work with a team of Product Managers, Software Engineers, and Business Intelligence Engineers to automate and scale the analysis, and to make the data more actionable to manage business at scale. You will own many large datasets, implementing new data pipelines that feed into or from critical data systems at Amazon.
You must be able to prioritize and work well in an environment with competing demands. Successful candidates will bring strong technical abilities combined with a passion for delivering results for customers, internal and external. This role requires a high degree of ownership and a drive to solve some of the most challenging data and analytic problems in retail. Candidates must have demonstrated ability to manage large-scale data modeling projects, identify requirements and tools, and build data warehousing solutions that are explainable and scalable. In addition to the technical skills, a successful candidate will possess strong written and verbal communication skills and a high intellectual curiosity with the ability to learn new concepts, frameworks, and technology rapidly as changes arise.
Key job responsibilities
1. Design, implement and support an analytical data infrastructure
2. Manage AWS resources including EC2, EMR, S3, Glue, Redshift, etc.
3. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
4. Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
5. Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis
6. Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
7. Maintain internal reporting platforms/tools including troubleshooting and development. Interact with internal users to establish and clarify requirements in order to develop report specifications.
8. Work with Engineering partners to help shape and implement the development of BI infrastructure including Data Warehousing, reporting and analytics platforms.
9. Contribute to the development of the BI tools, skills, culture and impact.
10. Write advanced SQL queries and Python code to develop solutions
A day in the life
This role requires you to live at the intersection of data, software, and analytics. We leverage a comprehensive suite of AWS technologies, with key tools including S3, Redshift, DynamoDB, Lambda, APIs, and Glue. You will drive the development process from design to release, managing data ingestion from heterogeneous data sources, with automated data quality checks. You will create scalable data models for effective data processing, storage, retrieval, and archiving, using scripting for automation and tool development, which is scalable, reusable, and maintainable. You will provide infrastructure for self-serve analytics and science use cases, using industry best practices in building CI/CD pipelines.
About the team
The Alexa Enterprise (AE) mission is to extend Alexa's capabilities and services to partners, accelerating Alexa's vision of creating the smartest, most capable and trusted GenAI personal assistant. We help our partners create value and deliver a business we love. Our business mission is focused on the following areas:
1. Distribute Alexa across 3P endpoints such as smart TVs and speaker profitably drive incremental endpoints and new-to-Alexa customer acquisition
2. Bring value to customers in hotels, senior living communities, and healthcare properties
3. Offer branded conversational AI assistants to partners
4. Ensure product certification, quality checks, and developer support to partners
We serve world-class customers across the industry and our products have been featured in publications such as CNET and Forbes, and Amazon has celebrated our progress in its quarterly earnings highlights. Our vision is for Alexa to become an integral part of our enterprise customers, driving revenue, lowering costs, and improving end-user satisfaction. Our team values work-life harmony and a diversity of lifestyles and family schedules.
BASIC QUALIFICATIONS
1. 3+ years of data engineering experience
2. Experience with data modeling, warehousing, and building ETL pipelines
PREFERRED QUALIFICATIONS
1. Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
2. Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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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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