Google Cloud Platform Data Engineer
Google Cloud Platform Data Engineer
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Job Description
Summary:
We are seeking a skilled and experienced GCP Data Engineer to be part of Material Logistics IT team. This individual will design develop and maintain our data pipelines and data warehousing solutions on Google Cloud Platform for Fords ambitious command center and logistics service layer Initiatives. You will be responsible for ensuring the efficient and reliable processing and storage of large datasets and architecting building and maintaining our cloud infrastructure and ensuring its high availability and scalability.
Responsibilities
Key Responsibilities:
- Work effectively with fellow software engineers product owners and other technical experts to deliver curated data products.
- Demonstrate technical knowledge and communication skills with the ability to advocate for welldesigned solution.
- Design develop and deploy data pipelines using Dataflow Dataproc and other relevant GCP services.
- Build and maintain data warehouses using BigQuery.
- Implement data quality and validation processes.
- Develop and maintain data schemas and models.
- Collaborate with software engineers and other stakeholders to meet business requirements.
- Manage and monitor GCP infrastructure using tools like Cloud Monitoring and Cloud Logging.
- Implement security best practices for cloudbased applications.
- Mentor and guide junior developers.
Qualifications
Qualifications:
- Bachelors degree in computer science or a related field.
- 8 years of experience in software development with at least 5 years on Google cloud technologies.
- Expertise in Data ingestion and storage Data Transformation and processing Data analysis and visualization Performance optimization and cost management and a deep understanding designing data modeling data integration data warehousing and managing largescale data storage system with below services: Big Query Cloud Run Cloud Function Cloud Dataflow Cloud Pub/Sub Cloud Storage and Data Studio Dataflow Dataproc Cloud Build etc.
- Strong experience with infrastructureascode (IaC) tools like Terraform or Cloud Deployment Manager and Expertise in Tekton pipeline.
- Deep understanding of GCP services including Compute Engine Kubernetes Engine (GKE) Cloud Storage Cloud SQL and Cloud Networking.
- Extensive experience with DevOps practices and tools.
- Expertise in Data encryption Identity and Access Management and Cloud Security.
Employment Type
Full-Time
