Google Cloud Platform Data Architect
2 weeks ago
We are looking for a talented Google Cloud Platform Data Architect to lead our data architecture initiatives and design large-scale data processing systems on Google Cloud Platform (GCP).
The ideal candidate will have a strong background in data engineering, experience with cloud platforms, particularly GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer.
Responsibilities:
- Design and implement scalable data architectures using GCP services to extract, transform, and load (ETL) data from various structured and unstructured sources.
- Develop efficient code in Python or Java for data processing tasks, focusing on scalability, reliability, and performance.
- Collaborate with cross-functional teams to optimize data workflows and ensure high-quality data processing.
- Maintain automated processes for data ingestion, transformation, and analysis, ensuring data governance and security standards are met.
- Optimize and troubleshoot data architectures for maximum reliability and performance, working closely with the operations team.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
- 3+ years of experience in a data engineering role, preferably with cloud platforms (Google Cloud Platform preferred).
- Proficiency in Python or Java for developing data pipelines and ETL processes.
- Strong experience with GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Functions, Cloud Composer.
- Familiarity with data modeling, schema design, and data warehousing concepts.
Compensation: The estimated salary for this position is $120,000 - $180,000 per year, depending on location and experience.
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