Description
- • Bachelor's Degree in Information System, Computer Science, or a related technical field.
- • 8+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- • 5+ years of experience with data visualization using Tableau, Quicksight, or similar tools
- • 5+ years of experience with data modeling, warehousing and building ETL pipelines
- • Experience with AWS technologies 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
- • Extensive experience working directly with business leadership and executives.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
AWS is looking for a Senior Business Intelligence Engineer to join the AWS Analytics Engineering (AAE) team. This is your opportunity to be part of a team that has direct impact on foundational cloud services such as Amazon Elastic Compute Cloud (EC2), Amazon’s Simple Storage Service (S3), Amazon Q Developer, Serverless, Databases, Networking and many more
As a Senior BI engineer on this team, you will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will create scalable solutions across AWS services, automate reporting systems, and develop self-service analytics capabilities. Working closely with product and business leaders, you will solve complex business problems and drive analytics strategy. This role requires a self-starter who excels in ambiguous, fast-paced environments, possesses strong attention to detail, and collaborates effectively with cross-functional teams. The ideal candidate must have strong attention to detail and proven experience delivering results with cross-functional teams.
Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and an ability to work effectively with cross-functional teams.
Key job responsibilities
• Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
• Design and implement large scale reporting solutions enabling stakeholders to manage the business and make effective decisions.
• Design and implement robust data models to automate generation of data driven actionable insights across multitude of AWS services.
• Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.
• Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users.
• Define and drive team analytical strategy to best support business leaders and executives’ strategic decisions.
•. Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders
• Employ Gen AI, segmentation, forecasting and other analytical techniques to capture important trends
• Mentor junior engineers on the team with industrial standards and best practices.
About the team
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, it’s 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- • 8+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- • 5+ years of experience with data visualization using Tableau, Quicksight, or similar tools
- • 5+ years of experience with data modeling, warehousing and building ETL pipelines
- • Experience with AWS technologies 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
- • Extensive experience working directly with business leadership and executives.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
AWS is looking for a Senior Business Intelligence Engineer to join the AWS Analytics Engineering (AAE) team. This is your opportunity to be part of a team that has direct impact on foundational cloud services such as Amazon Elastic Compute Cloud (EC2), Amazon’s Simple Storage Service (S3), Amazon Q Developer, Serverless, Databases, Networking and many more
As a Senior BI engineer on this team, you will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will create scalable solutions across AWS services, automate reporting systems, and develop self-service analytics capabilities. Working closely with product and business leaders, you will solve complex business problems and drive analytics strategy. This role requires a self-starter who excels in ambiguous, fast-paced environments, possesses strong attention to detail, and collaborates effectively with cross-functional teams. The ideal candidate must have strong attention to detail and proven experience delivering results with cross-functional teams.
Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and an ability to work effectively with cross-functional teams.
Key job responsibilities
• Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
• Design and implement large scale reporting solutions enabling stakeholders to manage the business and make effective decisions.
• Design and implement robust data models to automate generation of data driven actionable insights across multitude of AWS services.
• Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.
• Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users.
• Define and drive team analytical strategy to best support business leaders and executives’ strategic decisions.
•. Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders
• Employ Gen AI, segmentation, forecasting and other analytical techniques to capture important trends
• Mentor junior engineers on the team with industrial standards and best practices.
About the team
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, it’s 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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