Data Engineering Lead

hace 7 días


Barcelona, Barcelona, España Microsoft A tiempo completo
Overview

At Microsoft, we're a company of passionate innovators who come together to collaborate, envision what can be, and take our careers further. This is a world of more possibilities, more innovation, more openness, and the sky's the limit thinking in a cloud-enabled world.

Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. Our portfolio includes Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

Job Summary

We are seeking an experienced Data Engineering Lead to join our team and help us drive the development of our cloud analytics offerings. As a key member of our team, you will have the opportunity to work on the latest technology in big data and design and develop world-class experiences for our customers.

Responsibilities
  • Design and develop world-class experiences for new big data cloud offerings.
  • Operationalize open source analytics to run at scale, for example, Spark, Hadoop, Yarn, etc.
  • Work with various open source technologies and make contributions to these technologies.
  • Participate in an on-call rotation.
Requirements
  • BS/MS degree in computer science or related field.
  • 3+ years of software design and development experience with at least one of C/C++/C#/Java/python/scala.
  • Good writing, documentation, and communication skills in Engineering.
  • Ability to meet Microsoft, customer, and/or government security screening requirements.
Preferred Qualifications
  • Possession of passion and experience for building great developer experience and user experience of modern analytics systems.
  • Experience with open source components like Spark and Hadoop ecosystem as a plus.
  • Experience using Docker or Kubernetes in building large-scale cloud services, distributed systems, or operating systems.
Benefits
  • Estimated salary: $140,000 - $170,000 per year.
  • Industry-leading healthcare.
  • Educational resources.
  • Discounts on products and services.
  • Savings and investments.
  • Generous time away.
  • Giving programs.
  • Opportunities to network and connect.

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