Data Engineer Platform and Tools – Google Cloud Platform (GCP)
At a glance
Mid-level Data Engineering role at Mattel. Hyderabad · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build batch and streaming pipelines on GCP, then keep them running reliably in production
- Create and tune ETL/ELT workflows with BigQuery, Dataflow and Cloud Storage
- Set up orchestration in Cloud Composer and improve SQL queries and BigQuery performance
- Monitor pipeline health, investigate failures and support production data workflows
- Work with other teams to deliver data solutions that can scale
What you bring
- Hands-on experience with Google Cloud Platform and services such as BigQuery, Dataflow or another listed service
- You can develop with Python, SQL or Shell scripting and build ETL/ELT data workflows
- You bring data warehousing and modeling experience, plus familiarity with Git and CI/CD tools
Who this fits
This mid-level, full-time role suits a data engineer focused on GCP pipelines, warehousing and production support. The position is onsite in Hyderabad.
From the employer
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.
Key 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.
Required Skills
- 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
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