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Senior Database Engineer, Amazon Redshift

Amazon is hiring a Senior Database Engineer, Amazon Redshift in Berlin, Germany. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions SQL, Amazon Redshift and database architecture among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Senior Database Engineer for Amazon Redshift focusing on database design, workload analysis, and cloud data warehouse performance.

SQLAmazon Redshift
database-architecturedistributed-databasesperformance-tuningcloud-computingtroubleshooting
Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud. Amazon Redshift is a rapidly growing, fast, fully managed, petabyte-scale data warehouse service in the cloud. It enables customers to dramatically increase their query performance when analyzing virtually any size data set using the same SQL-based business intelligence tools they use today. No other data warehouse makes it as easy to gain new insights. With Redshift customers can query petabytes of structured and semi-structured data across their data warehouse and data lake using standard SQL.

Amazon Redshift is the most popular and fastest cloud data warehouse. It is integrated with customer's data lake, offers up to 3x faster performance than any other data warehouse, and costs up to 75% less than any other cloud data warehouse.

Joining the Amazon Redshift team gives you the opportunity to:

- Work on a disruptive product that’s 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 that’s a recognized leader in the cloud computing space
- Be involved in the fast growing, big data space

We are looking for senior database engineers that are passionate about data warehousing, and love to work with customers to help them with database design, usage patterns and performance.

We expect candidates to be able to:
- Demonstrate in-depth knowledge of database or data warehouse systems internals including relational database design and distributed databases/MPP architectures
- Lead strategic data architecture & database design discussions with customers
- Drive and oversee workload analysis, performance benchmarking and troubleshooting efforts with customers in their environments
- Clearly communicate deep technical topics to customers
- Influence the engineering team roadmap towards building a product that is scalable, easy to use and build on, and addresses customer needs
- Conduct POC’s with customers in competitive situations
- Leverage good coding/scripting skills to automate tasks and improve workload analysis mechanisms

ABOUT AWS:
Diverse Experiences
Amazon 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why 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.

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, there’s nothing we can’t achieve in the cloud.

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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship and 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.


Basic qualifications

- Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent
- 10+ years of non-internship professional software development experience
- Experience in writing complex, highly-optimized SQL queries across large datasets
- Knowledge of overall system architecture, scalability, reliability, and performance in a database environment
- Experience with large-scale data analytics and data warehousing

Preferred qualifications

- Experience in software development, or experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in external enterprise customer-facing role as a technical lead, with strong oral and written communication skills, presenting to both large and small audiences

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

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.

How we rate this

Senior Database Engineer, Amazon Redshift at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Database ArchitectureDistributed DatabasesPerformance TuningCloud ComputingTroubleshootingSQLAmazon Redshift

Questions you could be asked

  1. Tell me about a project where database architecture was part of your work. What did you do?
  2. Tell me about a project where distributed databases was part of your work. What did you do?
  3. Tell me about a project where performance tuning was part of your work. What did you do?
  4. Tell me about a project where cloud computing was part of your work. What did you do?
  5. Tell me about a project where troubleshooting was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Database Architecture, Distributed Databases, Performance Tuning, Cloud Computing, and Troubleshooting. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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