As a Strategic Cloud Data Engineer, you will be instrumental in guiding customers on how to ingest, store, process, analyze, and visualize data on Google Cloud. You will lead data migrations and modernization projects, design efficient data processing systems, and develop optimized data pipelines while troubleshooting potential challenges.
Key Responsibilities
- Customer Engagement. Interact with stakeholders to translate complex requirements into actionable solution architectures and advisory services.
- Migration Leadership. Collaborate with technical leads and partners to drive high-velocity migrations and modernization initiatives to GCP.
- Infrastructure Development. Design, build, and operationalize data storage and processing infrastructure utilizing cloud-native products.
- Data Quality Assurance. Develop and implement robust data quality and governance procedures to ensure data accuracy and reliability.
- Project Management. Organize project requirements into clear goals and objectives, creating a structured work breakdown to manage internal and external stakeholders effectively.
- Workshops and Solutions Deployment. Travel to customer sites to deploy solutions and deliver workshops, educating and empowering customers about Google Cloud technologies.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
- 4+ years of experience in developing and troubleshooting data processing algorithms.
- Proficiency in coding with programming languages such as Java or Python, alongside experience with Big Data technologies like Scala, Spark, and Hadoop frameworks.
- Familiarity with at least one public cloud provider, such as Google Cloud Platform (GCP).
Preferred Qualifications
- Proven experience in architecting and developing internet-scale production-grade Big Data solutions in virtualized environments.
- Background in Big Data, information retrieval, data mining, or Machine Learning.
- Experience with data warehouses, technical architectures, ETL processes, and reporting/analytics tools.
- Knowledge in building multi-tier applications using modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow.
- Experience with Infrastructure as Code (IaC) and CI/CD tools like Terraform, Ansible, and Jenkins.
- Strong understanding of database types and ability to write complex SQL queries.
About Google Cloud
Google Cloud accelerates every organization's ability to digitally transform its business and industry. Our enterprise-grade solutions leverage Google’s cutting-edge technology and tools, enabling businesses to grow and address their most critical challenges. With customers in over 200 countries and territories, Google Cloud is a trusted partner for organizations looking to leverage technology to connect with customers, employees, and partners.