
High-Performance Data Pipeline Specialist
2 days ago
About Us
We're looking for a talented Data Engineer to help us scale and optimize our data processing capabilities.
Role Overview
You will design, build, and maintain high-performance data pipelines that process terabytes of data.
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
- Collaborate with data scientists and product teams to understand data requirements
- Monitor and troubleshoot data pipeline issues in production
- Implement data quality checks and validation mechanisms
- Document data architecture and engineering processes
- Stay current with emerging big data technologies and best practices
Qualifications Required
- Bachelor's degree in Computer Science, Engineering, or 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)
- Knowledge of data pipeline orchestration tools (Airflow, Luigi, etc.)
- Understanding of performance optimization techniques and profiling tools
- Experience with cloud platforms (AWS, GCP, or Azure)
- Ability to translate business requirements into technical specifications
- Ability to work in a collaborative team environment
- Good communication skills to explain complex technical concepts
- Self-motivated with the ability to work independently
- Possession of a valid UK driving license is not required
Benefits
- A competitive salary and benefits package
- Opportunities for career growth and professional development
- A collaborative and dynamic work environment
- The chance to work with a talented team of professionals
Others
- Prior experience working with SEO data or web crawling systems is desirable
- Prior experience with Clickhouse Database is desirable
- Familiarity with distributed systems and microservices architecture is desirable
- Familiarity with container orchestration (Kubernetes, Docker) is desirable
- Knowledge of real-time data processing is desirable
- Contributions to open-source projects are desirable
- Prior experience with machine learning operations is desirable
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