Data Engineer Platform and Tools – Google Cloud Platform (GCP)

CREATIVITY IS OUR SUPERPOWER . It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire, entertain, and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.

We are looking for a Data Engineer with hands-on experience in Google Cloud Platform (GCP) to design, build, and maintain scalable data pipelines and data warehouse solutions. The ideal candidate should have expertise in ETL/ELT development, cloud-native data processing, and workflow orchestration, while ensuring data quality, performance, and reliability.

Responsibilities

Design and develop batch and streaming data pipelines on GCP.; Build and optimize ETL/ELT workflows using BigQuery, Dataflow, and Cloud Storage.; Develop and maintain data orchestration workflows using Cloud Composer (Airflow).; Optimize SQL queries and BigQuery performance.; Monitor, troubleshoot, and support production data pipelines.; Collaborate with cross-functional teams to deliver scalable data solutions.

Requirements

Cloud: Google Cloud Platform (GCP); GCP Services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer (Airflow); Programming: Python, SQL, Shell Scripting; Data Engineering: ETL/ELT, Data Warehousing, Data Modeling; Version Control & CI/CD: Git, Cloud Build/Jenkins; Monitoring: Cloud Logging, Cloud Monitoring; Terraform, Docker; Kubernetes; Oracle Cloud optional; Optional - OIC, ODT, golden gate, AIDP