Data Engineer, AWS Support S&O ESSO Strategy, Planning & Inspection (SPI)
Job Location:
Job Location:
Seattle, WA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
3 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Department:
Job Summary
Enterprise Support Strategy and Ops is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Would you like join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS Enterprise Support is hiring!
You recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area you understand data resources and know how when and which to use (and which not to use). By recognizing and using advanced analytical techniques to solve business problems you develop analyses (whether fully formed or exploratory) for the business sake not for analyses sake. You seek to understand the business objectives relevant to your area and align your work to those objectives and seek to deliver business value.
You will own the design development and maintenance of ongoing metrics reports analyses dashboards etc. within SQL Redshift Quicksights etc. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining data modeling and analytical skills to define and measure critical metrics.
Key job responsibilities
- Design implement and support an analytical data infrastructure
- Managing AWS resources including EC2 EMR S3 Glue Redshift etc.
- Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
- Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis
- Help continually improve ongoing reporting and analysis processes automating or simplifying self-service support for customers
About the team
Why 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.
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.
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 (gender diversity) conferences inspire us to never stop embracing our uniqueness.
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
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.
- Bachelors degree
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- 3 years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience with data modeling warehousing and building ETL pipelines
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
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.
Would you like join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS Enterprise Support is hiring!
You recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area you understand data resources and know how when and which to use (and which not to use). By recognizing and using advanced analytical techniques to solve business problems you develop analyses (whether fully formed or exploratory) for the business sake not for analyses sake. You seek to understand the business objectives relevant to your area and align your work to those objectives and seek to deliver business value.
You will own the design development and maintenance of ongoing metrics reports analyses dashboards etc. within SQL Redshift Quicksights etc. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining data modeling and analytical skills to define and measure critical metrics.
Key job responsibilities
- Design implement and support an analytical data infrastructure
- Managing AWS resources including EC2 EMR S3 Glue Redshift etc.
- Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
- Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis
- Help continually improve ongoing reporting and analysis processes automating or simplifying self-service support for customers
About the team
Why 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.
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.
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 (gender diversity) conferences inspire us to never stop embracing our uniqueness.
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
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.
- Bachelors degree
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- 3 years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience with data modeling warehousing and building ETL pipelines
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at PA Pittsburgh - 132100.00 - 178800.00 USD annually
USA TX Dallas - 132100.00 - 178800.00 USD annually
USA WA Seattle - 132100.00 - 178800.00 USD annually
Required Experience:
IC
About Company
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