Data Engineer II AWS Analytics Engineering
Data Engineer II AWS Analytics Engineering
Posted on :
02-05-2025
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1 Vacancy
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Job Description
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll 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.
About 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.
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.
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.
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.
We are part of AWS Product BI team. This team supports the business intelligence needs for Compute Storage Networking Automation & Messaging Management Tools and Developer Tools product families. We own the data metrics and reporting for these orgs. We empower all our stakeholders to make data driven business decisions by providing Daily Reports WBRs Analyses/Narratives and Datasets. We innovate on behalf of our endusers to produce relevant Metrics Automations and Tools to make Data and Insights actionable.
Nothing is beyond our reach
We operate by the slogan that nothing is beyond our reach. We think big. We sometimes find ourselves asking how in the world is there no tool or solution for this or how have we managed to operate like this for so long. Our response in these moments is well lets fix it. If the idea of pioneering solutions to unsolved problems from the ground up in uncharted territory sounds exciting to you come join us!
AWS produces an outrageous amount of data and our org is seeking a data engineer to usher in a new generation of data management where data can be a first class citizen in our operations. AWS is looking for an excellent Data Engineer to join the AWS Product BI team. This is your opportunity to be a core part of the team that has direct impact on the daytoday decision making in the many AWS Product teams like EC2 S3 and IoT.
Since early 2006 AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a highgrowth fastmoving division within Amazon with a startup mentality where new and diverse challenges arise every day. On the AWS Product BI team you will be surrounded by people that are exceptionally talented bright and driven and believe that world class BI is critical to our success. To help build this growing team you should be highly analytical and possess a strong passion for analytics and accountability set high standards with a focus on committed business success. We take working hard having fun and making history seriously. AWS sets the standard for functionality cost and performance for many cloud based services but its still early days for cloud computing and there are boundless opportunities to continue to redefine the world of cloud computing come help us make history!As a Data engineer on this team you will be a technical leader in our team and own the technical architecture of our BI and Data platforms. You will get the exciting opportunity to work on very large data sets in one of the worlds largest and most complex data warehouse environments. You will work closely with the business and technical teams in analysis on many nonstandard and unique business problems and use creativeproblem solving to deliver actionable output.
Our team is serious about great design and redefining best practices with a cloudbased approach to scalability and automation. A successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail an ability to work in a fastpaced and everchanging environment and an ability to work effectively with crossfunctional teams.
Key job responsibilities
Designing developing troubleshooting evaluating deploying and documenting data management and business intelligence systems enabling stakeholders to manage the business and make effective decisions.
Building secure available scalable stable and costeffective data solutions using data storage technologies distributed file system data processing and business intelligence best practices.
Working with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: data warehousing enterprise system data architecture data design (e.g. Logical and Physical Modeling) data persistence technologies data processing data management and data analysis.
Ensuring completeness and compatibility of the technical infrastructure to support system performance availability and architecture requirements
Reviewing and participating in testing of the data design tool design data extracts/transforms networks and hardware selections
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Bachelors degree
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
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 $118900/year in our lowest geographic market up to $205600/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.
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll 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.
About 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.
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.
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.
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.
We are part of AWS Product BI team. This team supports the business intelligence needs for Compute Storage Networking Automation & Messaging Management Tools and Developer Tools product families. We own the data metrics and reporting for these orgs. We empower all our stakeholders to make data driven business decisions by providing Daily Reports WBRs Analyses/Narratives and Datasets. We innovate on behalf of our endusers to produce relevant Metrics Automations and Tools to make Data and Insights actionable.
Nothing is beyond our reach
We operate by the slogan that nothing is beyond our reach. We think big. We sometimes find ourselves asking how in the world is there no tool or solution for this or how have we managed to operate like this for so long. Our response in these moments is well lets fix it. If the idea of pioneering solutions to unsolved problems from the ground up in uncharted territory sounds exciting to you come join us!
AWS produces an outrageous amount of data and our org is seeking a data engineer to usher in a new generation of data management where data can be a first class citizen in our operations. AWS is looking for an excellent Data Engineer to join the AWS Product BI team. This is your opportunity to be a core part of the team that has direct impact on the daytoday decision making in the many AWS Product teams like EC2 S3 and IoT.
Since early 2006 AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a highgrowth fastmoving division within Amazon with a startup mentality where new and diverse challenges arise every day. On the AWS Product BI team you will be surrounded by people that are exceptionally talented bright and driven and believe that world class BI is critical to our success. To help build this growing team you should be highly analytical and possess a strong passion for analytics and accountability set high standards with a focus on committed business success. We take working hard having fun and making history seriously. AWS sets the standard for functionality cost and performance for many cloud based services but its still early days for cloud computing and there are boundless opportunities to continue to redefine the world of cloud computing come help us make history!As a Data engineer on this team you will be a technical leader in our team and own the technical architecture of our BI and Data platforms. You will get the exciting opportunity to work on very large data sets in one of the worlds largest and most complex data warehouse environments. You will work closely with the business and technical teams in analysis on many nonstandard and unique business problems and use creativeproblem solving to deliver actionable output.
Our team is serious about great design and redefining best practices with a cloudbased approach to scalability and automation. A successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail an ability to work in a fastpaced and everchanging environment and an ability to work effectively with crossfunctional teams.
Key job responsibilities
Designing developing troubleshooting evaluating deploying and documenting data management and business intelligence systems enabling stakeholders to manage the business and make effective decisions.
Building secure available scalable stable and costeffective data solutions using data storage technologies distributed file system data processing and business intelligence best practices.
Working with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: data warehousing enterprise system data architecture data design (e.g. Logical and Physical Modeling) data persistence technologies data processing data management and data analysis.
Ensuring completeness and compatibility of the technical infrastructure to support system performance availability and architecture requirements
Reviewing and participating in testing of the data design tool design data extracts/transforms networks and hardware selections
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Bachelors degree
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
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 $118900/year in our lowest geographic market up to $205600/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
Department / Functional Area
Key Skills
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