Senior Cloud Engineer, Data and Analytics
Description For Senior Cloud Engineer, Data and Analytics
Google is seeking a Senior Cloud Engineer specializing in Data and Analytics to join their team in Warsaw, Poland. This role requires a blend of technical expertise and customer-facing skills. The ideal candidate will have 6 years of experience in data processing, with proficiency in Python, Java, Scala, and big data frameworks. They will guide customers on data solutions using Google Cloud Platform, work on migrations, design large-scale systems, and collaborate with product teams. The role involves travel to customer sites, deploying solutions, and delivering workshops. Google Cloud's mission is to accelerate digital transformation across industries, providing cutting-edge technology and tools for sustainable development. This position offers an opportunity to work with diverse global customers and contribute to solving critical business problems using Google's innovative cloud solutions.
Responsibilities For Senior 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 Platforms (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 Senior Cloud Engineer, Data and Analytics
- Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience
- 6 years of experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark and hadoop frameworks
- Experience with SQL coding across standard commercial databases (e.g., Teradata, MySQL, subqueries, multiple table joining, multiple join types)
- Experience with distributed data processing frameworks and modern investigative and transactional data stores
