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High Performance Data Specialist
3 weeks ago
About Big Data Engineer Role
We are seeking a talented Big Data Engineer to help us scale and optimize our data processing capabilities.
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
Benefits:
- Opportunity to work with a leading SEO and content performance marketing platform
- Collaborative team environment
- Professional growth and development opportunities
Others:
- This role is critical in ensuring our data infrastructure can handle increasing volumes of data while maintaining exceptional performance standards
- The successful candidate will be able to contribute to the design, build, and maintenance of high-performance data pipelines
Desirable Skills and Qualifications:
- Master's degree in Computer Science or related field
- Experience with SEO data or web crawling systems
- Experience with Clickhouse Database
- Knowledge of distributed systems and microservices architecture
- Familiarity with container orchestration (Kubernetes, Docker)
- Experience with real-time data processing
- Contributions to open-source projects
- Experience with machine learning operations
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
- Passion for performance optimization and efficiency
