Amazon Data Engineer Supply Chain Analytics North America Capacity Planning 

United States, Washington, Bellevue 

166467222

Key job responsibilities
- Design and implement robust data pipelines for ETL processes
- Build and maintain data collection systems from various sources
- Ensure scalability and performance optimization of pipeline architecture
- Integrate data from multiple systems, databases, and external sources
- Maintain data consistency and compatibility across platforms
- Implement data storage and retrieval solutions
- Develop and implement data validation checks
- Monitor data accuracy and integrity
- Establish quality control processes and documentation
- Identify and resolve data discrepancies
- Monitor and optimize database performance
- Improve query efficiency and processing speeds
- Scale solutions to handle increasing data volumes
- Maintain and upgrade data infrastructure
- Create and maintain effective data structures and schemas
- Design efficient data storage solutions
- Develop data models to support analytical requirements
- Communicate data insights and recommendations
- Support data-driven decision making
- Stay current with emerging data engineering technologies
- Recommend and implement new tools and methodologies
- Contribute to continuous improvement of data processes- Support data modeling and simulation projects
- Help translate business requirements into technical solutions

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses