Cloud Engineer, Data and Analytics

Google Cloud provides enterprise-grade solutions leveraging cutting-edge technology to help organizations digitally transform across 200+ countries.
Cloud
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · AI

Description For Cloud Engineer, Data and Analytics

Google Cloud is seeking a Cloud Engineer specializing in Data and Analytics to join their team in Warsaw, Poland. This role combines technical expertise in data processing, cloud infrastructure, and customer engagement. You'll be instrumental in helping customers leverage Google Cloud Platform for their data needs, from storage to analytics.

The position requires a strong background in data processing algorithms and software development, with expertise in languages like Python, Java, and Scala. You'll work with distributed systems, big data technologies, and various database platforms to design and implement scalable solutions. The role involves both technical implementation and customer interaction, as you'll guide clients through their cloud journey and data modernization initiatives.

As a Cloud Engineer, you'll be responsible for designing large-scale data processing systems, developing optimized data pipelines, and ensuring robust data governance and security controls. You'll have the opportunity to work with cutting-edge technology while helping organizations across various industries transform their data infrastructure.

The ideal candidate should have experience with big data technologies, cloud platforms, and a strong understanding of data warehousing concepts. You'll be part of a team that directly influences product development and customer success, making this an excellent opportunity for someone who wants to impact how organizations handle data at scale.

Working at Google offers the chance to collaborate with industry leaders, access to state-of-the-art technology, and the opportunity to solve complex challenges for customers worldwide. The role combines technical expertise with customer interaction, making it perfect for those who enjoy both technical problem-solving and client engagement.

Last updated 3 months ago

Responsibilities For Cloud Engineer, Data and Analytics

  • Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services
  • Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP)
  • Design, migrate/build and operationalise data storage and processing infrastructure using Cloud native products
  • Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data
  • Organize various project requirements into goals and objectives, and create a work breakdown structure to manage internal and external stakeholders

Requirements For Cloud Engineer, Data and Analytics

Python
Java
Scala
MongoDB
  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience
  • 3 years of experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark and hadoop frameworks
  • Experience with distributed data processing frameworks and data stores
  • Experience with SQL coding across databases (e.g., Teradata, MySQL)

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