
Cloud Data Engineering Specialist
11 hours ago
Job Title: Cloud Data Engineering Specialist
We are seeking a highly experienced cloud data engineering professional with 5+ years of experience in designing, building, and optimizing scalable data pipelines and architectures on Google Cloud Platform.
Key Responsibilities:
- Design and implement highly scalable, reliable, and secure data pipelines on GCP using BigQuery, Apache Airflow, and Cloud Functions.
- Develop robust ETL/ELT processes using Python and integrate with data orchestration tools (e.g., Airflow).
- Collaborate with data analysts, data scientists, and stakeholders to understand data requirements and deliver high-quality 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.
- Mentor junior engineers and promote best practices in data engineering and cloud usage.
Must-Have Skills:
- Google Cloud Platform (GCP): In-depth experience with core services like IAM, Cloud Storage, and Cloud Functions.
- BigQuery: Expertise in data modeling, performance tuning, and large-scale analytics.
- Apache Airflow: Experience in authorizing and managing DAGs for complex workflows.
- Python: Proficient in scripting and automation, including working with APIs, data processing libraries (e.g., pandas, PySpark), and custom operators in Airflow.
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