Database Engineer - AWS, Amazon Redshift

Job ID: 1463923 | Amazon Development Center DEU

DESCRIPTION

Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud. With AWS, you can requisition compute power, storage, and other services – paying as you go for only the resources you need. Amazon Redshift is rapidly growing, fast and powerful, 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. Amazon Redshift manages all the work needed to set up, operate, and scale a data warehouse, from provisioning capacity and installing software to monitoring and backing up the cluster, to applying patches and upgrades. By automating these labor-intensive tasks, Amazon Redshift enables customers to spend their time focusing on their data and business insights, rather than on procuring and managing infrastructure.

Joining the Amazon Redshift team gives you the opportunity to:
· Solve challenging problems that will revolutionize database computing in the cloud
· Build a quality 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 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:
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· Demonstrate in-depth knowledge of database systems internals including relational database design and distributed databases/MPP architectures
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· Lead strategic data architecture & database design discussions with customers
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· Drive and oversee workload analysis, performance benchmarking and troubleshooting efforts with customers in their environments
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· Clearly communicate deep technical topics to customers
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· Influence the engineering team roadmap towards building a product that is scalable, easy to use and build on, and addresses customer needs
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· Conduct POC’s with customers in competitive situations
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· Leverage good coding/scripting skills to automate tasks and improve workload analysis mechanisms

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Harmony
Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

· Bachelor’s Degree in Computer Science or related field or equivalent work experience
· 5+ years professional experience in software development with expertise in advanced SQL coding, tuning and query optimization
· Experience working with external customers (both technical and non-technical audiences)
· Experience troubleshooting applications and system performance and complex, production software issues
· Ability to tune databases based on explain plans overall system behavior. Ability to tune complex workloads.

PREFERRED QUALIFICATIONS

· Knowledge of database internals as it relates to query and system performance and tuning
· Understanding of overall system architecture, scalability, reliability, and performance in a database environment
· Development skills are highly desirable
· Experience designing and leading database performance benchmarks.
· Experience with large-scale data analytics and data warehousing
· Masters or PhD in Computer Science

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.

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