Data Engineer, HWEng Data Science & Analytics team

$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

Amazon Web Services (AWS) is seeking an experienced Data Engineer to join the Hardware Engineering Data Science and Analytics team. This role involves providing technical leadership and building end-to-end analytical solutions that are scalable, secure, and cost-effective. The Data Engineer will work with large datasets to create data products and services, utilizing advanced analytics and machine learning to derive insights from hardware monitoring data. The position requires collaboration with engineers and scientists to implement best practices in data systems and to develop efficient algorithms for data analysis.

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 leveraging AWS technologies and big data tools.
• Gather business and functional requirements and translate these into robust, scalable, operable solutions with a flexible 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

• 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.
• Experience with AWS services such as Redshift, Glue, S3, EMR, Kinesis, and SNS/SQS.
• Experience architecting data lakes and cloud data warehouses.
• Experience with big data technologies (Hadoop, Hive, Kafka, Spark, etc.).
• Experience in leading and delivering end-to-end projects.

Nice-to-haves

• AWS certifications or other related professional technical certifications.

Benefits

• Competitive salary based on market location and job-related knowledge, skills, and experience.
• Equity and sign-on payments may be provided as part of a total compensation package.
• Full range of medical, financial, and other benefits.