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3 days ago
We are seeking a Senior Data Engineer to join our team. As a key member of our professional services group, you will be responsible for designing and building high-performance data pipelines that process large amounts of data.
- 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.
You will collaborate with data scientists and product teams to understand data requirements and work closely with cross-functional groups to ensure successful deployment of data solutions.
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).
- Opportunity to work with a talented team of engineers and data scientists.
- Competitive salary and benefits package.
- Professional development opportunities.
- Flexible working hours.
- Remote work options.
This is a fantastic opportunity to work with a leading organization and contribute to the development of cutting-edge data solutions.
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