Cloud Data Engineer
2 weeks ago
We are seeking a skilled Cloud Data Engineer to design, implement, and optimize data pipelines using Google Cloud Platform services. The ideal candidate will have expertise in BigQuery, Pub/Sub, and Python programming.
Key Responsibilities:
- Architect and develop scalable and efficient data pipelines using GCP services.
- Implement data transformation processes to cleanse, enrich, and aggregate raw data from various sources.
- Fine-tune data pipelines and queries to optimize performance and reduce latency.
- Collaborate with cross-functional teams to understand data requirements and provide technical solutions.
Requirements:
- Extensive hands-on experience with Google Cloud Platform services, particularly BigQuery for data storage and analysis, and Pub/Sub for real-time data streaming.
- Strong programming skills in Python for data manipulation, scripting, and automation tasks.
- Solid understanding of data modeling concepts and experience in designing efficient data models for analytics and reporting purposes.
- Proficiency in writing complex SQL queries for data extraction, transformation, and analysis within BigQuery.
- Familiarity with data warehousing concepts and experience in implementing data warehouse solutions using GCP BigQuery or similar technologies.
- Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex data-related issues.
What We Offer:
- A competitive salary of $150,000 - $200,000 per year.
- The opportunity to work with a cutting-edge technology stack and contribute to innovative projects.
- A dynamic and collaborative work environment with a team of experienced professionals.
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