AWS EMEA SARL

1 month ago

Stockholm, Stockholm, Sweden AWS EMEA SARL (Sweden Branch) - G54 Full time
About the Role

We are seeking a highly skilled Sr. Analytics Specialist to join our AWS EMEA SARL (Sweden Branch) - G54 team. As a key member of our team, you will play a critical role in helping our customers build and deploy data workloads on AWS infrastructure.

Key Responsibilities
  • Design and implement best-in-class storage infrastructure solutions for customers and products across all stages of their lifecycles.
  • Partner with our product and field teams to enable new capabilities for customers to develop and deploy data workloads on AWS infrastructure.
  • Work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.
  • Act as a technical liaison between customers and our teams to provide customer-driven product improvement feedback.
  • Develop and support an internal community of related subject matter experts.
About Us

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, providing a robust suite of products and services to power businesses. Our team values diversity, inclusion, and work-life harmony, and we strive to be Earth's Best Employer.

What We Offer
  • Endless knowledge-sharing and mentorship opportunities to help you develop into a better-rounded professional.
  • A hybrid work model that allows you to work in the office or remotely, depending on your needs.
  • A diverse and inclusive team culture that empowers you to be proud of your differences.
Requirements
  • 7+ years of experience in design, implementation, or consulting in applications and infrastructures.
  • 5+ years of experience in specific technology domain areas, such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
  • Bachelor's degree.
  • 5+ years of technology/software sales experience.
  • 3+ years of implementation and architecture experience in big data, data warehousing, data lake, operational analytics, data migration, and integration scenarios.

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