Data Engineer, Multi Channel Fulfillment (MCF)

$118,900 - $205,600/Yr

Amazon - Seattle, WA

Full-time - Mid Level

Seattle, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Data Engineer position within the ARCADE team at Amazon focuses on developing and supporting scalable data infrastructure solutions for the Multi Channel Fulfillment (MCF) and Buy with Prime (BwP) business. The role involves tackling complex data challenges, integrating various data sources, and enabling advanced analytics and machine learning capabilities. The Data Engineer will collaborate with business and technical teams to design data pipelines and support self-service reporting, while also mentoring other engineers and contributing to team culture.

Responsibilities

• Design, implement, and support data warehouse/data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena.
• Develop and manage ETLs to source data from various Santos domain and SDO teams & operational systems and create unified data model for analytics and reporting.
• Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Redshift/Spectrum and Athena.
• Collaborate with other Engineering teams, Product/Finance Managers/Analysts to implement advanced analytics algorithms that exploit our rich datasets for ML model development, statistical analysis, prediction, etc.
• Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.
• Build scalable and secure data infrastructure that will be used by BIEs to develop dashboards those are used by senior leadership.
• Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
• Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.
• Manage numerous requests concurrently and strategically, prioritizing when necessary.
• Partner/collaborate across teams/roles to deliver results.
• Mentor other engineers, influence positively team culture, and help grow the team.

Requirements

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines.

Nice-to-haves

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases).

Benefits

• Full range of medical benefits
• Financial benefits including equity and sign-on payments
• Comprehensive employee benefits package