Cloud Data Engineer

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services.
• Design, Migrate/Build and Operationalise data storage and processing infrastructure using Cloud native products. Design and implement data migration strategies for various database types (e.g., PostgreSQL, Oracle, Alloy DB etc.).
• Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.
• Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP).

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark, or Hadoop frameworks.
• Experience with a public cloud provider (e.g., Google Cloud Platform (GCP)).

Preferred qualifications:

• Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
• Experience in Big Data, information retrieval, data mining, or Machine Learning.
• Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB and SparkML.
• Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
• Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc.
• Deep understanding of migrating databases using various methodologies, leveraging distributed data processing frameworks, including modern analytical and transactional data stores.