Step into the engine of digital innovation We are looking for Cloud and Data Engineers to drive technological transformation through the power and innovation of Google Cloud. If you want to apply your skills to cutting‑edge technologies and play a leading role in designing innovative solutions for our clients, this is the right place for you.
As a Google Cloud Data Engineer, you will be responsible for implementing Big Data solutions and architectures, leveraging modern technologies and open‑source frameworks in a cloud environment. Your ability to design and build scalable systems will be essential to ensure the performance and reliability of data applications.
Minimum 2 years of experience designing, building, and delivering Big Data solutions and applications using GCP data and analytics services and open‑source frameworks (Spark, Hive, Dataproc, Dataflow / Apache Beam, Bigtable, BigQuery, Pub/Sub, Composer / Apache Airflow, dbt, Dataform)
Minimum 1 year of experience designing and building cloud‑native data pipelines on Google Cloud Platform
Minimum 1 year of experience managing Google Cloud platforms and defining transition paths from legacy systems
Minimum 2 years of experience with Python and/or Java, SQL, and Linux shell
Experience with data migration from legacy systems (Hadoop, Teradata, Netezza)
Google Cloud Professional Certification (Data Engineer preferred)