Data Engineer II, Data Science & Analytics

$118,900 - $205,600/Yr

Amazon - Cupertino, CA

Full-time - Mid Level

Cupertino, CA

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Data Engineer II position at Amazon's AWS Hardware Engineering team focuses on building data products and services that transform hardware monitoring data into actionable insights through advanced analytics and machine learning. The role involves providing technical leadership, developing end-to-end analytical solutions, and ensuring data solutions are customer-focused and impactful.

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, ETL/ELT processes by leveraging AWS technologies and big data tools.
• Gather business and functional requirements and translate these into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
• Collaborate with scientists to create fast and efficient algorithms for optimization, statistical analysis, prediction, clustering, and machine learning.
• Help improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.

Requirements

• 2+ years of data engineering experience
• A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience
• 2+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools
• 2+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets
• 2+ years of experience in scripting languages like Python.

Nice-to-haves

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)

Benefits

• Competitive salary
• Equity and sign-on payments
• Comprehensive medical benefits
• Financial benefits
• Employee discounts
• Flexible work arrangements