
Chief Data Processing Specialist
2 weeks ago
Our organization requires a skilled Big Data Engineer to develop, implement, and maintain large-scale data processing systems. This role involves working with Python, big data technologies, and database performance optimization.
About Us:
We're an innovative company that turns online content into tangible business results. Our team aims to deliver exceptional performance standards in handling increasing volumes of data.
Key Responsibilities:
- Design and implement high-performance data pipelines using Python and big data technologies.
- Optimize database performance by identifying and resolving slow-running queries and latency issues.
- Use Python profilers and monitoring tools to detect bottlenecks.
- Reduce P95 and P99 latency metrics across our data platform.
- Build efficient ETL pipelines for 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.
Required Skills and Qualifications:
- 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).
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