Software Dev, Analytics

Amazon Redshift

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profile Job Location:

Redmond, WA - USA

profile Monthly Salary: Not Disclosed
Posted on: 14 hours ago
Vacancies: 1 Vacancy

Department:

Software Development

Job Summary

Amazon Redshift is a fast scalable data warehouse that makes it simple and cost-effective for our customers to analyze data across their data warehouse and data lakes. Redshift delivers ten times faster performance than other data warehouses by using machine learning massively parallel query execution and columnar storage on high-performance disk.
As the Sr Manager of Software Development for Redshift you will be responsible for leading a group of top talent in the design and development of a product that allows for the setup and deployment of new data warehouses in minutes and running queries across petabytes of data stored in data warehouses. Amazon Redshift is simple to use enabling customers to deploy a new data warehouse in minutes. Redshift automates most of the common administrative tasks to manage monitor and scale your data warehouse. This allows customers to break free from the complexities of managing on-premises data warehouses.

Joining the Amazon Redshift team gives you the opportunity to:
- Work on a disruptive product thats still in its early stages
- Solve challenging problems that will revolutionize database computing in the cloud
- Build a product that will leverage the scale of resources available in the cloud
- Work for a company thats a recognized leader in the cloud computing space
- Be involved in the fast growing big data space
Responsibilities include:
- Growing and leading a data warehouse software development team responsible for rethinking the assumptions behind how traditional DW services are built and thinking how to build database services best suited for the cloud.
- You will develop the design implementation testing and deployment of these services.
- You will draw from your deep and broad technical and management expertise to mentor senior engineers and managers complete hands-on technical work and provide leadership on complex technical issues design tradeoffs and feature and schedule prioritization.
- This is one of our most strategic technical projects with a long-term vision and an opportunity to deliver both significant business and industry-wide technical impact.
- As an engineering leader within Database Services you will work with senior executives to develop business targets and resource requirements influence our technical and business strategy help hire talented engineers and managers and conceive innovative new solutions for our customers.

About the team
About AWS
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 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.

- 10 years of engineering experience
- 5 years of engineering team management experience
- 10 years of planning designing developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs projects and development teams in an Agile environment

- Experience partnering with product and program management teams
- Experience designing and developing large scale high-traffic applications

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 WA Redmond - 220100.00 - 297700.00 USD annually


Required Experience:

Manager

Amazon Redshift is a fast scalable data warehouse that makes it simple and cost-effective for our customers to analyze data across their data warehouse and data lakes. Redshift delivers ten times faster performance than other data warehouses by using machine learning massively parallel query executi...
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Key Skills

  • Adobe Analytics
  • Data Analytics
  • SQL
  • Attribution Modeling
  • Power BI
  • R
  • Regression Analysis
  • Data Visualization
  • Tableau
  • Data Mining
  • SAS
  • Analytics

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