
High Performance Data Pipeline Specialist
3 days ago
Data Engineering Position
We are seeking a skilled Data Engineer to join our Professional Services team. The successful candidate will design, build, and maintain high-performance data pipelines that process large volumes of data.
The role is critical in ensuring our data infrastructure can handle increasing volumes of data while maintaining exceptional performance standards. Key responsibilities include:
- Designing and implementing scalable batch processing systems using Python and big data technologies
- Optimizing database performance, focusing on slow-running queries and latency improvements
- Using Python profilers and performance monitoring tools to identify bottlenecks
- Reducing P95 and P99 latency metrics across our data platform
- Building efficient ETL pipelines that can handle large-scale data processing
- Collaborating with data scientists and product teams to understand data requirements
- Monitoring and troubleshooting data pipeline issues in production
- Implementing data quality checks and validation mechanisms
- Documenting data architecture and engineering processes
- Staying current with emerging big data technologies and best practices
The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, or related technical field, and 4+ years of experience in data engineering roles. Strong Python programming skills, experience with big data technologies, and knowledge of performance optimization techniques and profiling tools are also essential.
We offer a collaborative team environment, excellent attention to detail, and a commitment to data quality. If you are passionate about performance optimization and efficiency, we encourage you to apply for this challenging position.
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