Data Analytics Innovator for Azure Synapse

hace 1 semana


Barcelona, Barcelona, España Microsoft A tiempo completo

Empowering a New Era of Data-Driven Innovation

At Microsoft, we're committed to harnessing the power of data to drive innovation and growth. Our Azure Data engineering team is at the forefront of this effort, developing cutting-edge products that enable businesses to extract insights from their data.

The big data analytics team within Azure Data provides a range of solutions that empower data engineers and scientists to unlock intelligence from structured, semi-structured, and unstructured data. We're currently integrating our disparate products into Azure Synapse Analytics, creating a unified platform that simplifies and accelerates time-to-value.

About the Role

We're seeking a talented Senior Applied Scientist to join our Gray Systems Lab (GSL), an applied research group part of the Azure Data CTO office. GSL tackles challenging problems in open-source and proprietary technologies related to analytics, cloud, AI, and storage systems. As a member of this team, you'll work on novel technologies, including analytics on GPUs, container technologies, graph databases, and infrastructure models for Large Language Models (LLMs) and data science.

You'll collaborate with researchers and engineers from diverse backgrounds to publish papers in top conferences, build scalable distributed systems for data analytics on Azure, and contribute to open-source projects. With hundreds of academic papers published and technologies impacting tens of millions of dollars in Microsoft revenues/costs, our team has made significant contributions to the field.

Your Responsibilities

  • Design and develop innovative solutions for big data analytics on Azure Synapse Analytics
  • Collaborate with cross-functional teams to integrate disparate products into Azure Synapse Analytics
  • Publish research papers in top conferences and contribute to open-source projects
  • Work on novel technologies, including analytics on GPUs, container technologies, graph databases, and infrastructure models for LLMs and data science

What You'll Need

To succeed in this role, you'll need:

  • A PhD or Master's degree in Computer Science, Data Science, or a related field
  • 5+ years of experience in data analytics, machine learning, or a related field
  • Strong programming skills in languages like Python, Java, or C++
  • Familiarity with big data technologies, such as Hadoop, Spark, or Flink
  • Experience with cloud-based platforms, like Azure or AWS

Benefits and Perks

We offer a competitive salary of $150,000 - $180,000 per year, depending on your experience and qualifications. In addition, you'll enjoy benefits like medical, dental, and vision insurance, 401(k) matching, and paid time off. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of data-driven innovation



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