
Data Architect for Performance Optimization
7 days ago
We are seeking an experienced Data Architect to design and build high-performance data pipelines. This role requires expertise in big data technologies, Python programming, and performance optimization techniques.
The ideal candidate will have a strong background in computer science, engineering, or a related field, with 4+ years of experience in data engineering roles.
The successful candidate will be responsible for:
- Designing and implementing scalable batch processing systems
- Optimizing database performance by identifying and resolving bottlenecks
- Reducing latency metrics across the data platform
- Building efficient ETL pipelines that can handle large-scale data processing
- Maintaining data quality and integrity through documentation and validation mechanisms
To be considered for this role, you should possess:
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 4+ years of experience in data engineering roles
- Strong Python programming skills with focus on data processing libraries
- Experience with big data technologies (Spark, Hadoop, etc.)
- Proven experience optimizing database performance (SQL or NoSQL)
This is an excellent opportunity to work in a collaborative team environment, with a competitive salary and benefits package.
About UsWe are a leading provider of innovative solutions in the field of data architecture and engineering.
In this role, you will have the opportunity to work on exciting projects, collaborate with talented professionals, and contribute to the growth and development of our organization.
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