Business Intelligence Engineer AWS DC Bridge
Business Intelligence Engineer AWS DC Bridge
Posted on :
24-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
AWS Infrastructure Services (AIS) owns the design planning delivery and operation of all AWS global infrastructure. In 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.
The AWS Data Center Bridge (DC Bridge) team is looking for an experienced Business Intelligence Engineer (BIE) to build innovative insights that influence how work is orchestrated in AWS data centers. DC Bridge owns the custom software products that enable safe secure and efficient processes for technicians around the world.
AWS customer offerings are constantly innovating and evolving. To keep our data centers running at the same velocity we require highquality impactful data points to guide decision making. As a BIE with DC Bridge your work will influence what components are built in our software products and have a direct impact on data center technicians daytoday activities. You will work closely with global process owners software developers program managers and other data specialists across many AIS teams. This high velocity environment creates large opportunities for innovation creativity and exploring outside the box while engineering data products from beginning to end. We expect our BIEs to enjoy learning new skills challenging themselves and sharing their knowledge with teammates. This appetite for learning and innovation is particularly important as we leverage new AI and machine learning models to accelerate our outcomes.
A successful BIE for DC Bridge will have strong written and verbal communication skills. They will be confident in handling both detailed conversations with technical teams and contributing to highlevel discussions with business leaders. A successful BIE will also be comfortable navigating ambiguity and be willing to jump into something new. They will quickly learn the business area becoming a subject matter expert on the data and anticipating longterm data needs. DC Bridge BIEs are required to have strong SQL skills data modeling experience the ability to deep dive in unfamiliar data sets and be comfortable with a basic scripting language.
Key job responsibilities
Build and own data artifacts including: data models ETLs visualizations ML models and simulations on large multidimensional datasets to uncover trends patterns and opportunities
Perform analysis of deep dives and models to provide data for the decision making process including written and verbal presentation of results and recommendations
Work closely with partners and customers to understand programs and business goals. Participate in design and definition of innovative and influential methods of measurement
Work with software development and business teams to design requirements for appropriate capture and storage of key data points needed in metrics and modeling
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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 employeeled 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife 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 analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data modeling warehousing and building ETL pipelines
Experience writing complex SQL queries
Experience with data visualization using Tableau Quicksight or similar tools
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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 largescale complex datasets
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 for more information. If the country/region youre applying in isnt 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 $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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.
The AWS Data Center Bridge (DC Bridge) team is looking for an experienced Business Intelligence Engineer (BIE) to build innovative insights that influence how work is orchestrated in AWS data centers. DC Bridge owns the custom software products that enable safe secure and efficient processes for technicians around the world.
AWS customer offerings are constantly innovating and evolving. To keep our data centers running at the same velocity we require highquality impactful data points to guide decision making. As a BIE with DC Bridge your work will influence what components are built in our software products and have a direct impact on data center technicians daytoday activities. You will work closely with global process owners software developers program managers and other data specialists across many AIS teams. This high velocity environment creates large opportunities for innovation creativity and exploring outside the box while engineering data products from beginning to end. We expect our BIEs to enjoy learning new skills challenging themselves and sharing their knowledge with teammates. This appetite for learning and innovation is particularly important as we leverage new AI and machine learning models to accelerate our outcomes.
A successful BIE for DC Bridge will have strong written and verbal communication skills. They will be confident in handling both detailed conversations with technical teams and contributing to highlevel discussions with business leaders. A successful BIE will also be comfortable navigating ambiguity and be willing to jump into something new. They will quickly learn the business area becoming a subject matter expert on the data and anticipating longterm data needs. DC Bridge BIEs are required to have strong SQL skills data modeling experience the ability to deep dive in unfamiliar data sets and be comfortable with a basic scripting language.
Key job responsibilities
Build and own data artifacts including: data models ETLs visualizations ML models and simulations on large multidimensional datasets to uncover trends patterns and opportunities
Perform analysis of deep dives and models to provide data for the decision making process including written and verbal presentation of results and recommendations
Work closely with partners and customers to understand programs and business goals. Participate in design and definition of innovative and influential methods of measurement
Work with software development and business teams to design requirements for appropriate capture and storage of key data points needed in metrics and modeling
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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 employeeled 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife 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 analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data modeling warehousing and building ETL pipelines
Experience writing complex SQL queries
Experience with data visualization using Tableau Quicksight or similar tools
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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 largescale complex datasets
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 for more information. If the country/region youre applying in isnt 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 $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
