
Senior Data Technology Specialist
4 days ago
As a Big Data Engineer, you will be responsible for designing and implementing scalable batch processing systems that process terabytes of data. Your expertise in big data technologies such as Spark and Hadoop will enable us to optimize our existing systems, identify and resolve performance bottlenecks, and implement 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
Required Skills and Qualifications
To succeed in this role, you will need:
- 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
We offer a competitive compensation package, including a salary range of $120,000 - $180,000 per year, depending on experience. Additionally, we provide comprehensive benefits, including health insurance, retirement plan, and paid time off.
Others
Our team is passionate about delivering high-quality results and working collaboratively to achieve common goals. We believe in investing in our employees' growth and development through training, mentorship, and opportunities for advancement. If you are a motivated and talented individual who is passionate about data engineering, we encourage you to apply for this exciting opportunity.
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