
Scalable Data Solutions Architect
6 days ago
About the Job:
We are seeking a skilled data engineer to design, build, and optimize scalable data solutions using Google Cloud Platform (GCP) and AtScale.
The ideal candidate will have hands-on experience in developing robust data pipelines, implementing efficient data models, and ensuring performance optimization for enterprise-level analytics.
This role involves working with cross-functional teams to translate business requirements into technical solutions.
To succeed in this position, you should have a strong understanding of data modeling, ETL/ELT processes, and SQL.
A Bachelor's and/or Master's degree in Computer Science, Engineering, or a related field is also required.
Key Responsibilities:
- Build and manage scalable data analytics solutions using AtScale and GCP services.
- Design, develop, and deploy data platforms and pipelines on GCP that seamlessly integrate with AtScale.
- Optimize applications for performance, scalability, and cost-efficiency using AtScale's adaptive cache for enhanced speed.
Required Skills & Qualifications:
- Bachelor's and/or Master's degree in Computer Science, Engineering, or related field (or equivalent experience).
- Proven experience in GCP (BigQuery, Dataflow, Pub/Sub, etc.) and AtScale.
- Strong knowledge of data modeling, ETL/ELT processes, and SQL.
- Excellent communication, analytical, and problem-solving skills.
Additional Benefits:
- Familiarity with data governance, security, and compliance in cloud environments is an advantage.
- Experience in BI/Analytics tools integrated with AtScale can be beneficial.
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