
Big Data Specialist
13 hours ago
Reimagining Data Infrastructure for Enhanced Performance
We are seeking a seasoned Data Engineer to join our team and contribute to the development of high-performance data pipelines that process massive amounts of data. The ideal candidate will have experience in designing, building, and maintaining scalable batch processing systems using Python and big data technologies.
The successful candidate will be responsible for optimizing database performance, identifying and resolving performance bottlenecks, and implementing solutions that improve the overall efficiency of our platform. This role is critical in ensuring our data infrastructure can handle increasing volumes of data while maintaining exceptional performance standards.
Key Responsibilities:
- Design and implement scalable batch processing systems using Python and big data technologies
- Optimize database performance, focusing on slow-running queries and latency improvements
- Use Python profilers and performance monitoring tools to identify bottlenecks
- Reduce P95 and P99 latency metrics across our data platform
- Build efficient ETL pipelines that can handle large-scale data processing
Qualifications Required:
- Bachelor's degree in Computer Science or related 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 role offers an opportunity to work on challenging projects, collaborate with experienced professionals, and contribute to the growth of our organization. If you are a motivated and detail-oriented individual with a passion for performance optimization, we encourage you to apply.
Benefits
- Opportunity to work on challenging projects
- Collaboration with experienced professionals
- Contribution to the growth of our organization
Skills and Abilities
- Strong analytical thinking and problem-solving skills
- Excellent attention to detail and commitment to data quality
- Ability to work effectively in a collaborative team environment
- Good communication skills to explain complex technical concepts
- Self-motivated with the ability to work independently
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