Data Engineer II, Supply Chain Analytics
Share
Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Department:
Job Summary
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
AIS is seeking a highly motivated and passionate Back End Data Engineer who is responsible for designing developing testing and deploying Supply Chain Application and Process this role you will collaborate with business leaders work backwards from customers identify problems propose innovative solutions relentlessly raise standards and have a positive impact on AWS Infrastructure Supply Chain & this you will work closely with a team of Business Intelligence Engineers and Data Scientists to architect the application programming interface (API) and user Interface (UI) in context with the business outcomes. You will be using the best of available tools including EC2 Lambda DynamoDB and Elastic Search. You will be responsible for the full software development life cycle to build scalable application and deploy in AWS Cloud.
Key job responsibilities
- Understand the broad range of organizational data resources and business processes to identify automation opportunities that drive measurable business outcomes.
- Interface with global stakeholders data engineers and data scientists across time zones to gather requirements by asking the right questions analyzing data and drawing conclusions through validated assumptions.
- Produce written recommendations and insights for key stakeholders to shape solution design and influence strategic decision-making.
- Conduct deep-dive analyses of business problems and formulate data-driven conclusions and recommendations to deliver comprehensive end-to-end automation solutions.
- Design develop and maintain scalable and reliable analytical tools and automated pipelines that drive key business decisions across supply chain procurement and operational domains.
- Enhance analytical maturity by incorporating predictive and prescriptive analytics using machine learning and optimization techniques where appropriate.
- Design and develop pipelines required for optimal extraction transformation and loading of data from diverse sources using SQL Python and AWS big data technologies.
- Oversee and continually improve production operations including optimizing data delivery redesigning infrastructure for greater scalability managing code deployments resolving bugs and coordinating overall release management.
- Establish and maintain best practices for design development and support of data integration solutions including comprehensive documentation.
- Work closely with product teams software developers to explore new data sources and deliver actionable data solutions.
- Read write and debug data processing and orchestration code in SQL/Python following best coding standards (version controlled code reviewed peer validated).
- Handle multiple projects simultaneously effectively manage ambiguity and adapt to rapidly changing priorities while maintaining delivery excellence.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
- 3 years of data engineering experience
- 4 years of SQL experience
- 3 years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience using data and trends to articulate business needs or equivalent
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience delivering results for large cross-functional initiatives/projects or experience in creating process improvements with automation and analysis
- Experience with version control systems and CI/CD pipeline implementation
- Experience prioritizing and delivering projects on time in a fast-moving environment
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
AIS is seeking a highly motivated and passionate Back End Data Engineer who is responsible for designing developing testing and deploying Supply Chain Application and Process this role you will collaborate with business leaders work backwards from customers identify problems propose innovative solutions relentlessly raise standards and have a positive impact on AWS Infrastructure Supply Chain & this you will work closely with a team of Business Intelligence Engineers and Data Scientists to architect the application programming interface (API) and user Interface (UI) in context with the business outcomes. You will be using the best of available tools including EC2 Lambda DynamoDB and Elastic Search. You will be responsible for the full software development life cycle to build scalable application and deploy in AWS Cloud.
Key job responsibilities
- Understand the broad range of organizational data resources and business processes to identify automation opportunities that drive measurable business outcomes.
- Interface with global stakeholders data engineers and data scientists across time zones to gather requirements by asking the right questions analyzing data and drawing conclusions through validated assumptions.
- Produce written recommendations and insights for key stakeholders to shape solution design and influence strategic decision-making.
- Conduct deep-dive analyses of business problems and formulate data-driven conclusions and recommendations to deliver comprehensive end-to-end automation solutions.
- Design develop and maintain scalable and reliable analytical tools and automated pipelines that drive key business decisions across supply chain procurement and operational domains.
- Enhance analytical maturity by incorporating predictive and prescriptive analytics using machine learning and optimization techniques where appropriate.
- Design and develop pipelines required for optimal extraction transformation and loading of data from diverse sources using SQL Python and AWS big data technologies.
- Oversee and continually improve production operations including optimizing data delivery redesigning infrastructure for greater scalability managing code deployments resolving bugs and coordinating overall release management.
- Establish and maintain best practices for design development and support of data integration solutions including comprehensive documentation.
- Work closely with product teams software developers to explore new data sources and deliver actionable data solutions.
- Read write and debug data processing and orchestration code in SQL/Python following best coding standards (version controlled code reviewed peer validated).
- Handle multiple projects simultaneously effectively manage ambiguity and adapt to rapidly changing priorities while maintaining delivery excellence.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
- 3 years of data engineering experience
- 4 years of SQL experience
- 3 years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience using data and trends to articulate business needs or equivalent
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience delivering results for large cross-functional initiatives/projects or experience in creating process improvements with automation and analysis
- Experience with version control systems and CI/CD pipeline implementation
- Experience prioritizing and delivering projects on time in a fast-moving environment
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
