Data Engineer, Customer Engagement Technology
DESCRIPTION
Do you want to join an innovative team of engineers and scientists who use Machine Learning (ML), Natural Language Processing (NLP) and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people interact with customer service? Our team aims to lead the technical innovations in these spaces and set the bar for every other company in existence.
If you can envision how big data and technology can be used to improve customer experience, if you love to innovate, if you enjoy discovering knowledge from big structured and unstructured data, and if you deliver results, then we want you on our team. We're specifically looking for a strong analytical thinker with excellent communication skills who can improve our team's infrastructure and build new analytical visualization tools for various purposes.
You will participate in all phases of scientific projects, including big data analysis, designing and implementing product experiments, automating analytical metric mechanisms, and communicating results. You will earn trust from our business partners by collaborating with them to define key research questions, communicating scientific approaches and findings, listening to and incorporating their feedback, and delivering successful solutions.
Key job responsibilities
- Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
- Implement data ingestion routines, both real-time and batch, using best practices in data modeling, and Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT) processes by leveraging AWS technologies and big data tools.
- Gather business and functional requirements and translate them into robust, scalable, and operable solutions with a flexible and adaptable data architecture.
- Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
- Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
Join our team of product leaders, scientists and engineers who develop and deploy Large Language Model (LLM)-based Conversational Artificial Intelligence (AI) systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.
BASIC QUALIFICATIONS
- A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience
- 3+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools.
- 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
- 3+ years of experience in scripting languages like Python etc.
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience architecting data lake and cloud data warehouses
- Experience with big data technologies (Hadoop, Hive, Kafka, Spark, etc.)
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.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.