Amazon Data Engineer Amazon Fresh Grocery 

United States, Washington, Seattle 

85085667

As the lead Data Engineer for the Central Retail BI team, you will be a strategic partner for fellow engineers, analysts, scientists, and business leads to solve the most complex data problems in the Grocery business. You will work with a wide range of tools and systems and stay abreast of emergent technologies and frameworks, knowing where and when to implement them. You will have strong data mining and modeling skills and be comfortable facilitating Think Big ideation, working from concept through to execution. You will partner with Central Data Engineering team on solutions, federated governance, and overall data architecture and strategy. You will participate in the full development life cycle including design, implementation and testing, documentation, delivery, support, and maintenance.Key job responsibilities
- Develop the end-to-end automation of data pipelines, making datasets readily-consumable by visualization tools and notification systems
- Create automated alarming and dashboards to monitor data integrity- Influence the organization to adopt next-generation data technology and frameworks, knowing where and when to implement- Produce and maintain comprehensive documentation and metadata for your solutions

- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline
- 3+ years of industry experience in Data Engineering, Software Development, Business Intelligence, Data Science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
- Highly proficient in writing complex, highly-optimized SQL to build ETL pipelines
- Highly proficient in at least one scripting language (e.g., Python, R, Bash)
- Strong knowledge of data modeling, data warehousing, and distributed storage and computing.
- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
- Familiarity with business intelligence reporting tools such as Tableau, QuickSight, or Cognos

- Master’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline
- Experience working with AWS big data technologies (e.g., EMR, Redshift, S3, Glue, Kinesis and Lambda)
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Experience providing technical coaching and mentoring to other engineers for best practices on data engineering
- Familiarity with statistical models and auto-detection algorithms for solving data quality
- Prior experience in Retail, Consumables, and/or Supply Chain Management industry