
Cloud Data Engineer
3 days ago
Job Title: Data Architect
We are seeking a highly skilled Data Architect with expertise in designing, building, and optimizing data pipelines and architectures on Google Cloud Platform.
About the Role:
The ideal candidate will have a strong background in data engineering, experience with GCP core services, BigQuery expertise, and proficiency in scripting and automation using Python.
- Key Responsibilities:
- Data Pipeline Design: Develop scalable, reliable, and secure data pipelines using GCS, BQ, and Apache Airflow.
- ETL/ELT Processes: Implement robust ETL/ELT processes using Python and integrate with data orchestration tools like Airflow.
- Collaboration: Collaborate with data analysts, scientists, and stakeholders to understand data requirements and deliver high-quality solutions.
- BigQuery Performance: Optimize BigQuery performance through efficient schema design, partitioning, clustering, and query optimization.
- Data Lake/Data Warehouse Management: Manage and maintain data lake and data warehouse environments ensuring data integrity and availability.
- Automation/Monitoring: Automate and monitor data pipelines to ensure consistent and reliable data delivery.
- Architecture Decisions: Contribute to architecture decisions and ensure adherence to data governance and security standards.
- Mentorship: Mentor junior engineers and promote best practices in data engineering and cloud usage.
Must-Have Skills:
The ideal candidate should possess:
- GCP Core Services: In-depth experience with core services like GCS, BQ, IAM, and Cloud Functions.
- BigQuery Expertise: Expertise in data modeling, performance tuning, and large-scale analytics.
- GCS Understanding: Strong understanding of data storage, access patterns, and integration.
- Apache Airflow Experience: Experience in authoring and managing DAGs for complex workflows.
- Python Proficiency: Proficient in scripting and automation, including working with APIs, data processing libraries, and custom operators in Airflow.
Preferred Qualifications:
The following qualifications are a plus:
- CI/CD Pipelines: Experience with CI/CD pipelines for data workflows.
- Dataflow/Pub/Sub Exposure: Exposure to Dataflow, Pub/Sub, or other GCP data services.
- Terraform/IaC Familiarity: Familiarity with Terraform or Infrastructure as Code on GCP.
- Strong Problem-Solving/Communication Skills: Strong problem-solving and communication skills.
- GCP Certifications: GCP certifications are a plus.
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