The Google Cloud Data Engineers we are looking for will be responsible for building, transforming, and modernizing enterprise data solutions on the Google Cloud Platform (GCP) & integrating native GCP services and 3rd-party data technologies. We expect solid experience with API exposure to manage all platform-related automation tasks. Should have an understanding of considerations for large-scale solutions and operationalization of data warehouses, data lakes, automation tasks, and analytics platforms on GCP.
Skills and experience
Required skills are essential for this role. Nice-to-have skills add value but do not replace the requirements.
Python · 4 years minimum · 7 years preferred · RequiredGoogle Cloud Platform · 4 years minimum · 7 years preferred · RequiredBigQuery · 3 years minimum · RequiredData Engineering · 7 years minimum · RequiredNoSQL · 3 years minimum · RequiredStructured Query Language · 3 years minimum · RequiredEnglish · Fluent · Required
Role details and responsibilities
- Technical Experience Required:
- Experience in Enterprise Data Warehouse technologies
- Experience with developing software code for automation in one or more languages, such as Python and SQL.
- Experience with modern API development
- Hands-on experience on GCP Cloud data implementation projects (Dataflow, Cloud Composer, Big Query, Cloud Storage, etc.)
- Experience in designing and deploying large-scale distributed data processing systems with a few technologies such as MySQL, PostgreSQL, MongoDB, Hadoop, Spark, HBase, or Teradata
- Preferred Certifications: Google Professional Data Engineer Certification