
Senior Big Data Professional
5 days ago
We are seeking a talented Data Engineer to help us optimize and scale our data processing capabilities.
Role Overview
As a Data Engineer, you will design, build, and maintain high-performance data pipelines that process large amounts of data. You'll work on optimizing our existing systems, identifying and resolving performance bottlenecks, and implementing solutions that improve the overall efficiency of our platform.
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
• 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
Note: Preferred qualifications are listed below
BenefitsYou will have the opportunity to work with a talented team of engineers, learn from experienced professionals, and grow your skills and knowledge in a dynamic and fast-paced environment.
OthersPlease note that we are looking for a highly motivated individual who is passionate about performance optimization and efficiency.
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