Cloud Engineer, Data and Analytics

Google Cloud accelerates organizations' digital transformation with enterprise-grade solutions and cutting-edge technology.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · Cloud

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 mid-level role requires a bachelor's degree in Computer Science or related field, and 3 years of experience in developing data processing algorithms using various programming languages and frameworks.

As a Cloud Engineer, you will guide customers on storing, processing, analyzing, and visualizing data on the Google Cloud Platform. Your responsibilities include working on data migrations and modernization projects, designing large-scale data processing systems, developing scalable data pipelines, and troubleshooting platform/product challenges. You'll also need to understand data governance and security controls.

Key responsibilities include interacting with stakeholders to translate customer requirements into solution architectures, engaging with technical leads for high-velocity migration to GCP, designing and operationalizing data infrastructure using Cloud native products, implementing data quality and governance procedures, and managing project requirements and stakeholders.

The ideal candidate will have experience with data warehouses, Big Data technologies, NoSQL databases, machine learning tools, and infrastructure as code. Knowledge of secure key storage and data processing frameworks is also preferred.

Join Google Cloud and be part of a team that accelerates digital transformation across industries, leveraging cutting-edge technology to solve critical business problems for customers worldwide.

Last updated 2 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 clear 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
  • Bachelor's degree in Computer Science, Mathematics, 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 modern analytical and transactional data stores
  • Experience with SQL coding across standard commercial databases (e.g., Teradata, MySQL)

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