Data Engineer for Large Scale Data Infrastructure
4 days ago
About the Role:
This is an exciting opportunity to join Amazon Devices as a Data Engineer, working on big data related to Amazon's expanding portfolio of devices. The successful candidate will be part of the International Devices Data Services (IDDS) team, responsible for empowering business stakeholders with data products in support of sales & marketing operations.
About the Team:
The IDDS team has a diverse mix of talent, combining Business Intelligence Engineers, Data Engineers, and a Technical Program Manager into a single team that owns data-driven solutions end-to-end. We have technical skills across a wide range of technologies and AWS services to deploy solutions at scale.
Your Key Responsibilities:
- Design, implement, and operate large-scale, high-volume, high-performance data sets for use by business intelligence engineers and analysts.
- Implement data pipelines using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.
- Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
Your Skills and Qualifications:
- 3+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
About You:
- Expertise in designing, implementing, and operating large-scale data systems
- Strong understanding of data modeling, ETL/ELT processes, and data governance
- Excellent communication and collaboration skills, with experience working with cross-functional teams
- Self-motivated, with a passion for innovation and problem-solving
Estimated Salary: $120,000 - $180,000 per year
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