Amazon
Job ID: 3127316 | Amazon (China) Holding Company Limited
The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. As a Data Engineer, you will play a crucial role in supporting the team by creating and maintaining the data infrastructure necessary for the advanced analytics and machine learning solutions.
Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here are some of the key problems on which the team focuses:
Using live package and truck signals to adjust truck capacities in real-time
HOTW models for Last Mile Channel Allocation
Using LLMs to automate analytical processes and insight generation
Ops research to optimize middle mile truck routes
Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings
Deep Learning models to synthesize attributes of addresses
Abuse detection models to reduce network losses
Key Job Responsibilities
Design, develop, and maintain scalable data pipelines to support ML model development and production deployment.
Implement and maintain CI/CD pipelines for the data and ML solutions.
Collaborate with data scientists and other team members to understand data requirements and implement efficient data processing solutions.
Create and manage data warehouses and data lakes, ensuring proper data governance and security measures are in place.
Collaborate with product managers and business stakeholders to understand data needs and translate them into technical requirements.
Stay current with emerging technologies and best practices in data engineering, and propose innovative solutions to improve data infrastructure and processes for ML models and analytics applications.
Participate in code reviews and contribute to the development of best practices for data engineering within the team.
Basic Qualifications
Bachelor's degree or above in computer science, computer engineering, or related field, or Master's degree
3+ years of data engineering experience
Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go
Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Knowledge of cloud services such as AWS or equivalent
Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments
Experience with version control systems and CI/CD pipeline implementation
Experience in complex problem solving, and working in a tight schedule environment
Experience working in a collaborative team environment to deliver high-quality design solutions
Preferred Qualifications
Experience in industry, consulting, government or academic research
Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in agile/scrum or related collaborative workflow
Experience with automation and any version control tools, or experience in managing and troubleshooting network and experience in Kafka
Experience working with data and analytics
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr
The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. As a Data Engineer, you will play a crucial role in supporting the team by creating and maintaining the data infrastructure necessary for the advanced analytics and machine learning solutions.
Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here are some of the key problems on which the team focuses:
Using live package and truck signals to adjust truck capacities in real-time
HOTW models for Last Mile Channel Allocation
Using LLMs to automate analytical processes and insight generation
Ops research to optimize middle mile truck routes
Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings
Deep Learning models to synthesize attributes of addresses
Abuse detection models to reduce network losses
Key Job Responsibilities
Design, develop, and maintain scalable data pipelines to support ML model development and production deployment.
Implement and maintain CI/CD pipelines for the data and ML solutions.
Collaborate with data scientists and other team members to understand data requirements and implement efficient data processing solutions.
Create and manage data warehouses and data lakes, ensuring proper data governance and security measures are in place.
Collaborate with product managers and business stakeholders to understand data needs and translate them into technical requirements.
Stay current with emerging technologies and best practices in data engineering, and propose innovative solutions to improve data infrastructure and processes for ML models and analytics applications.
Participate in code reviews and contribute to the development of best practices for data engineering within the team.
Basic Qualifications
Bachelor's degree or above in computer science, computer engineering, or related field, or Master's degree
3+ years of data engineering experience
Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go
Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Knowledge of cloud services such as AWS or equivalent
Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments
Experience with version control systems and CI/CD pipeline implementation
Experience in complex problem solving, and working in a tight schedule environment
Experience working in a collaborative team environment to deliver high-quality design solutions
Preferred Qualifications
Experience in industry, consulting, government or academic research
Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in agile/scrum or related collaborative workflow
Experience with automation and any version control tools, or experience in managing and troubleshooting network and experience in Kafka
Experience working with data and analytics
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr