
Senior Data Architect
4 days ago
We are looking for an experienced data engineer with 5+ years in designing, building, and optimizing scalable data pipelines and architectures on Google Cloud Platform (GCP). This role involves working with various GCP services to create robust and efficient data solutions.
- Create scalable data pipelines using Google Cloud Storage (GCS), BigQuery, and Apache Airflow.
- Develop ETL/ELT processes using Python and integrate with data orchestration tools.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Optimize BigQuery performance through efficient schema design, partitioning, clustering, and query optimization.
- Manage and maintain data lake and data warehouse environments ensuring data integrity and availability.
- Automate and monitor data pipelines to ensure consistent and reliable data delivery.
- Contribute to architecture decisions and ensure adherence to data governance and security standards.
Mandatory Skills:
- In-depth experience with core services like GCS, BigQuery, IAM, and Cloud Functions.
- Expertise in data modeling, performance tuning, and large-scale analytics.
- Strong understanding of data storage, access patterns, and integration.
- Experience in authoring and managing DAGs for complex workflows.
- Proficient in scripting and automation, including working with APIs, data processing libraries, and custom operators.
Preferred Qualifications:
- Experience with CI/CD pipelines for data workflows.
- Exposure to Dataflow, Pub/Sub, or other GCP data services.
- Familiarity with Terraform or Infrastructure as Code (IaC) on GCP.
- Strong problem-solving and communication skills.
GCP certifications are a plus.
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