Job Description
About Amazon.com:
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.
About Team
The RBS team is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best price, wide selection and good product information. The team?s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled by this group have a direct impact on customer buying decisions and online user experience.
Overview of the role:
An candidate will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. You will be detail-oriented and organized, capable of handling multiple projects at once, and capable of dealing with ambiguity and rapidly changing priorities. You will have expertise in process optimizations and systems thinking and will be required to engage directly with multiple internal teams to drive business projects/automation for the RBS team. Candidates must be successful both as individual contributors and in a team environment, and must be customer-centric. Our environment is fast-paced and requires someone who is flexible, detail-oriented, and comfortable working in a deadline-driven work environment. Responsibilities Include Works across team(s) and Ops organization at country, regional and/or cross regional level to drive improvements and enables to implement solutions for customer, cost savings in process workflow, systems configuration and performance metrics.
Basic Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field
Proficiency in automation using Python
Excellent oral and written communication skills
Experience with SQL, ETL processes, or data transformation
Preferred Qualifications
Experience with scripting and automation tools
Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK
Knowledge of AWS services such as SQS, SNS, CloudWatch and DynamoDB
Understanding of DevOps practices, including CI/CD pipelines and monitoring solutions
Understanding of cloud services, serverless architecture, and systems integration
Key job responsibilities
As a Business Intelligence Engineer in the team, you will collaborate closely with business partners, architect, design, implement, and BI projects & Automations.
to build scalable data solutions and analytical insight.
You will work with a team of highly motivated business intelligence engineers, Business Analysts and
Contribute to the design, implementation, and delivery of complex BI solutions
Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Basic qualifications
Develop innovative BI and data analytics solutions leveraging advanced machine learning models to solve complex problems, build intelligent knowledge bases, and create conversational interfaces for enhanced business insights and recommendations.- Drive projects on data automation, governance and standardisation
5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.
Experience with programming languages packages such as Python, TypeScript or R.
Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.
Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)
Expert-level SQL.
Proficiency with one or more general purpose programming languages (e.g. Python, Java, Typescript, Scala, etc.)
Knowledge of AWS products such as Redshift, Quicksight, and Lambda.
Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.
Preferred qualifications
Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK
Experience with AWS solutions such as Step-Functions, EC2, DynamoDB, S3.
Knowledge of machine learning techniques and concepts.
Understanding of cloud services, serverless architecture, and systems integration
Strong understanding of machine learning concepts, including the development and deployment of ML models to solve complex problems.
Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.
About Team
The RBS team is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best price, wide selection and good product information. The team?s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled by this group have a direct impact on customer buying decisions and online user experience.
Overview of the role:
An candidate will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. You will be detail-oriented and organized, capable of handling multiple projects at once, and capable of dealing with ambiguity and rapidly changing priorities. You will have expertise in process optimizations and systems thinking and will be required to engage directly with multiple internal teams to drive business projects/automation for the RBS team. Candidates must be successful both as individual contributors and in a team environment, and must be customer-centric. Our environment is fast-paced and requires someone who is flexible, detail-oriented, and comfortable working in a deadline-driven work environment. Responsibilities Include Works across team(s) and Ops organization at country, regional and/or cross regional level to drive improvements and enables to implement solutions for customer, cost savings in process workflow, systems configuration and performance metrics.
Basic Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field
Proficiency in automation using Python
Excellent oral and written communication skills
Experience with SQL, ETL processes, or data transformation
Preferred Qualifications
Experience with scripting and automation tools
Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK
Knowledge of AWS services such as SQS, SNS, CloudWatch and DynamoDB
Understanding of DevOps practices, including CI/CD pipelines and monitoring solutions
Understanding of cloud services, serverless architecture, and systems integration
Key job responsibilities
As a Business Intelligence Engineer in the team, you will collaborate closely with business partners, architect, design, implement, and BI projects & Automations.
to build scalable data solutions and analytical insight.
You will work with a team of highly motivated business intelligence engineers, Business Analysts and
Contribute to the design, implementation, and delivery of complex BI solutions
Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Basic qualifications
Develop innovative BI and data analytics solutions leveraging advanced machine learning models to solve complex problems, build intelligent knowledge bases, and create conversational interfaces for enhanced business insights and recommendations.- Drive projects on data automation, governance and standardisation
5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.
Experience with programming languages packages such as Python, TypeScript or R.
Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.
Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)
Expert-level SQL.
Proficiency with one or more general purpose programming languages (e.g. Python, Java, Typescript, Scala, etc.)
Knowledge of AWS products such as Redshift, Quicksight, and Lambda.
Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.
Preferred qualifications
Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK
Experience with AWS solutions such as Step-Functions, EC2, DynamoDB, S3.
Knowledge of machine learning techniques and concepts.
Understanding of cloud services, serverless architecture, and systems integration
Strong understanding of machine learning concepts, including the development and deployment of ML models to solve complex problems.
Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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.
Key skill Required
- Java
- Oracle
- SQL
- JAVA
- Architecture
- Python
- AWS
- Automation
- Business Intelligence
- CloudWatch
- Data Analytics
- Data Engineering
- Java
- CI/CD
- Ambiguity
- Analysis
- Analytics
- Business Insights
- Buying
- Communication
- Complex Systems
- Computer Science
- Configuration
- Data Automation
- Data Integrity
- Data Mining
- Data Modeling
- Data Presentation
- Data Quality
- Data Science
- Data Transformation
- Data Visualization
- Data Warehouse
- Database
- Dealing With Ambiguity
- Design
- Development
- Documentation
- DynamoDB
- E-commerce
- Governance
- Implementation
- Inclusive
- Infrastructure
- Infrastructure as Code
- Innovation
- Insight
- Integration
- Intelligence
- Learning
- Learning Techniques
- Machine Learning
- MATLAB
- Mining
- NoSQL
- Onboarding
- Oral and Written Communication
- Passionate
- Presentation
- Reporting
- Research
- Retail
- Science
- Statistical Analysis
- Statistics
- Systems Thinking
- Test Design
- TypeScript
- User Experience
- Validation
- Version Control
- Visualization
- Workflow
- Written Communication
