
Chief Data Solutions Architect
3 days ago
Job Title: Data Engineer
Job Summary:
Our organization seeks a highly skilled data engineer to build scalable, efficient, and high-quality data solutions using Google Cloud Platform.
Key Responsibilities:
- Design and develop robust data ingestion pipelines using GCP services like Pub/Sub, Dataflow, and Cloud Storage.
- Architect and manage large-scale BigQuery data warehouses to support business intelligence needs.
- Collaborate with cross-functional teams to deliver efficient solutions and ensure seamless data integration.
- Maintain documentation and contribute to best practices in cloud data engineering.
Required Skills & Qualifications:
- 3-6 years of experience in data engineering with strong exposure to GCP services.
- Proficiency in Python, SQL, and cloud-native development practices.
- Solid understanding of data modeling, ETL/ELT processes, and performance optimization.
- Ability to work closely with data scientists and ML engineers on AI/ML workflows.
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
Additional Benefits:
As a valued member of our team, you will have opportunities for professional growth and development in a dynamic and innovative environment.
Requirements:
- CI/CD pipeline management.
- Version control (e.g., Git).
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