Data Engineer, DS2-Science
hace 4 semanas
The Amazon Devices team is responsible for designing and engineering high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo.
We are seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. Working closely with business stakeholders, software development engineers, and scientist colleagues, you will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Amazon Devices to provide customer great products and keep the data secure.
As a Data Engineer, you will work with the most complicated data environment, employ the right architecture to handle big data, and support various analytics use cases, including business reporting, production data pipeline, machine learning, optimization models, statistical models, simulation, etc. Your work will have a direct impact on the day-to-day decision making in the Amazon Devices Sales & Operations Technology, and end customers.
Responsibilities
- Design, implement, and maintain large-scale data systems and architectures
- Collaborate with cross-functional teams to identify and prioritize business needs and requirements
- Develop and maintain high-quality, scalable, and secure data pipelines and ETL processes
- Work with data scientists and analysts to design and implement data models and analytics solutions
- Ensure data quality, integrity, and security
Requirements
- 5+ years of experience with data warehouse technical architectures, ETL/ELT, reporting/analytic tools, and scripting
- 5+ years of demonstrated quantitative and qualitative data experience with data modeling, ETL development
- Knowledge of data modeling and experience with SQL, Redshift, Oracle, MySQL, and Columnar Databases
- Experience managing competing priorities simultaneously and driving projects to completion
Preferred Qualifications
- Bachelor's degree in an engineering or technical field such as Computer Science, Physics, Mathematics, Statistics, Engineering, or similar
- Experience with big data technologies
- Master's degree in an engineering or technical field such as Computer Science, Physics, Mathematics, Statistics, or Engineering
- Experience with AWS services including S3, Lambda, EMR, RDS, Data-pipeline, and other big data technologies
- Experience with scripting (Python experience is a strong plus)
- Proficient in the composition of Advanced SQL (analytical functions) and query performance tuning skills
- Ability to interact, communicate, present, and influence with both business and technical teams
- A self-starter who loves data and who enjoys spotting trends in it
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