
Scalable Data Solutions Engineer
4 days ago
We are seeking a skilled and motivated individual to build scalable data pipelines and cloud-native data solutions on Google Cloud Platform.
Key Responsibilities:
- Design, develop, and optimize robust data ingestion pipelines using GCP services such as Pub/Sub, Dataflow, and Cloud Storage.
- Architect and manage scalable BigQuery data warehouses to support analytics, reporting, and business intelligence needs.
- Collaborate with cross-functional teams to understand data requirements and deliver efficient solutions.
Required Skills & Qualifications:
- 3–6 years of experience in data engineering, with strong exposure to GCP.
- Proficiency in GCP services: Pub/Sub, Dataflow, Cloud Storage, and BigQuery.
- Solid understanding of data modeling, ETL/ELT processes, and performance optimization.
- Experience with Python, SQL, and cloud-native development practices.
- Familiarity with CI/CD pipelines and version control (e.g., Git).
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
Benefits:
- Opportunity to work with cutting-edge technology and innovative projects.
- Collaborative and dynamic work environment.
- Ongoing training and professional development opportunities.
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